TWM463878U - Living body identification system and identity authentication device - Google Patents
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本創作係有關一種活體辨識系統以及身份認證裝置,更詳而言之,係有關一種透過行為特性參數或/及物理特性參數來進行活體判斷以及身份認證之人臉影像分析之活體辨識系統以及身份認證裝置。This creation is related to a living body identification system and an identity authentication device. More specifically, it relates to a living body identification system and identity for face image analysis of living body judgment and identity authentication through behavioral characteristic parameters and/or physical property parameters. Authentication device.
按,近年來身份識別或驗證機制的需求日殷,使得生物特徵辨識技術之研究更受重視,一般來說,生物特徵辨識技術包括有指紋辨識、虹膜掃瞄或人臉辨識等,其主要係利用生物特徵作為身份識別或驗證之依據,而由於人臉辨識屬於非接觸式之生物特徵辨識技術,僅僅透過臉部特徵即可進行辨識的程序,因此,相較於指紋辨識之接觸式生物特徵辨識技術,人臉辨識之生物特徵辨識技術係被廣泛的應用於各個領域。According to the recent demand for identification or verification mechanisms, the research on biometrics technology has been paid more attention. In general, biometric identification technologies include fingerprint identification, iris scanning or face recognition. Biometrics are used as the basis for identification or verification, and since face recognition is a non-contact biometric technology, the process of identification can be performed only through facial features. Therefore, contact biometrics compared to fingerprint identification Identification technology, biometric identification technology for face recognition is widely used in various fields.
對於現今人臉辨識之生物特徵辨識技術而言,大多僅僅是先將待辨識者進行臉部特徵的擷取後,透過所擷取之臉部特徵與預存的合法使用者照片之臉部特徵進行比對,以進行身份識別或驗證,然,除了外在因素(如環境照明亮度等)會干擾辨識系統的準確度之外,對於非法使用者而言,有可能會藉由合法使用者的照片、圖片、影片、平面 或立體人偶等非活體的物體試圖欺騙身份辨識系統,進而使身份辨識系統產生誤判,而讓非法使用者有機可乘,此舉無疑地會對於裝載有辨識系統之電子裝置造成資料外洩、遺失或損毀之情事。For the biometric identification technology of today's face recognition, most of them only take the facial features of the person to be identified and then extract the facial features and the facial features of the pre-existing legal user photos. Alignment for identification or verification, except that external factors (such as ambient lighting brightness) can interfere with the accuracy of the identification system. For illegal users, it is possible to use photos of legitimate users. , pictures, videos, planes Or a non-living object such as a three-dimensional figure tries to deceive the identity recognition system, thereby causing the identity recognition system to misjudge the identity, and allowing the illegal user to take advantage of it. This will undoubtedly cause data leakage for the electronic device loaded with the identification system. Lost or damaged.
對此,如何提供一種能夠正確判斷被辨識者是否為活體,以減少誤判之情況發生之活體辨識技術,即為此領域中亟待解決之技術問題。In this regard, how to provide a living body identification technology that can correctly determine whether the identified person is a living body to reduce the occurrence of misjudgment is a technical problem to be solved in this field.
鑒於上述習知技術之缺點,本創作係提供一種活體辨識系統以及身份認證裝置,以正確判斷被辨識者是否為活體,俾減少誤判之情況發生。In view of the above-mentioned shortcomings of the prior art, the present invention provides a living body identification system and an identity authentication device to correctly determine whether the identified person is a living body and reduce the occurrence of misjudgment.
為解決上述習知技術中之技術問題,本創作所提供之人臉影像分析之活體辨識系統,係用以依據待測體之人臉影像變化以判斷該待測體是否為活體,該活體辨識系統包括:資料庫,係儲存有至少一行為特性參數或/及物理特性參數以及與該至少一行為特性參數或/及物理特性參數對應之至少一活體判斷標準;影像擷取模組,係與該資料庫電性連接,用以擷取該待測體之特定或行為動作之影像,並予以暫存至該資料庫中;以及判斷模組,係與該資料庫電性連接,用以判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,若是,則判斷該待測體為活體,若否,則判斷該待測體為非活體。In order to solve the technical problems in the above-mentioned prior art, the living body identification system for face image analysis provided by the present invention is used to determine whether the object to be tested is a living body according to the change of the face image of the object to be tested, and the living body identification The system includes: a database storing at least one behavior characteristic parameter and/or physical characteristic parameter and at least one living body judgment standard corresponding to the at least one behavior characteristic parameter or/and the physical characteristic parameter; the image capturing module, The data base is electrically connected to capture an image of the specific or behavioral action of the object to be tested and temporarily stored in the database; and the determining module is electrically connected to the database for judging Whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database, and if so, the object to be tested is determined to be a living body, and if not, the The body to be tested is not a living body.
為解決上述習知技術中之技術問題,本創作所提供之 具有人臉影像分析之活體辨識系統之身份認證裝置,係用以依據待測體之人臉影像變化以輔助判斷該待測體是否為合法使用者,該活體辨識系統之身份認證裝置係包括:資料庫,係儲存有合法使用者之臉部影像特徵、至少一行為特性參數或/及物理特性參數以及與該至少一行為特性參數或/及物理特性參數對應之至少一活體判斷標準;影像擷取模組,係與該資料庫電性連接,用以擷取該待測體之特定或行為動作之影像,並予以暫存至該資料庫中;以及判斷模組,係與該資料庫電性連接,用以判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,且判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之合法使用者之臉部影像特徵,並於兩者之判斷結果皆為是時,判斷該待測體為合法使用者,否則,則判斷該待測體為非合法使用者。In order to solve the technical problems in the above prior art, the present invention provides The identity authentication device of the living body identification system with facial image analysis is used to determine whether the object to be tested is a legitimate user according to the change of the face image of the object to be tested, and the identity authentication device of the living body identification system includes: The database stores a facial image feature of the legitimate user, at least one behavior characteristic parameter and/or physical characteristic parameter, and at least one living body judgment standard corresponding to the at least one behavior characteristic parameter and/or the physical characteristic parameter; The module is electrically connected to the database for capturing the image of the specific or behavioral action of the object to be tested, and temporarily storing the image in the database; and determining the module and the database a connection for determining whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database, and determining the temporary storage to the database Whether the image of the specific or behavioral action of the object to be tested is consistent with the facial image feature of the legitimate user stored in the database, and if the judgment results of both are true, the judgment is made. Measuring body is a legitimate user, otherwise, it is determined that the test body is non-legitimate users.
綜上所述,本創作之活體辨識系統,主要係先預存行為特性參數或/及物理特性參數以及與該行為特性參數或/及物理特性參數對應之活體判斷標準,接續擷取該待測體之特定或行為動作之影像,再判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,若是,則判斷該待測體為活體,若否,則判斷該待測體為非活體,而本創作之身份認證裝置即運用該活體辨識系統搭配判斷該待測體之特定或行為動作之影像是否允符預存之合法使用者之臉部影像特徵,藉以確 認該待測體是否為合法使用者,相較於習知技術者,透過本創作之活體辨識技術即可確認待測體是否為活體,對於身份認證之機制而言,則可減少誤判之情況,進而避免因非法使用者入侵,所造成之資料外洩、遺失或損毀之情事發生。In summary, the living body identification system of the present invention mainly includes the pre-existing behavior characteristic parameter and/or the physical characteristic parameter and the living body judgment standard corresponding to the behavior characteristic parameter or/and the physical characteristic parameter, and successively extracting the object to be tested. The image of the specific or behavioral action, and then determine whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database, and if so, determine the test The body is a living body, and if not, it is judged that the object to be tested is not a living body, and the identity authentication device of the present invention uses the living body identification system to determine whether the image of the specific or behavioral action of the object to be tested is allowed to be pre-stored legally. The image characteristics of the face Whether the object to be tested is a legitimate user, compared with the prior art, the living body identification technology of the creation can confirm whether the object to be tested is a living body, and the mechanism of identity authentication can reduce the false positive situation. In order to avoid the leakage, loss or damage of the data caused by illegal users.
1‧‧‧活體辨識系統1‧‧‧ Living Identification System
10‧‧‧資料庫10‧‧‧Database
11‧‧‧提示模組11‧‧‧Tips module
12‧‧‧影像擷取模組12‧‧‧Image capture module
13‧‧‧判斷模組13‧‧‧Judgement module
14‧‧‧輸出模組14‧‧‧Output module
15‧‧‧輔助模組15‧‧‧Auxiliary module
2‧‧‧待測體2‧‧‧Subjects
3‧‧‧具有活體辨識系統之身份認證裝置3‧‧‧ Identity authentication device with live identification system
30‧‧‧資料庫30‧‧‧Database
31‧‧‧提示模組31‧‧‧ prompt module
32‧‧‧影像擷取模組32‧‧‧Image capture module
33‧‧‧判斷模組33‧‧‧Judgement module
34‧‧‧輸出模組34‧‧‧Output module
4‧‧‧資料處理裝置4‧‧‧ data processing device
40‧‧‧致能模組40‧‧‧Enable module
41‧‧‧中央處理單元41‧‧‧Central Processing Unit
42‧‧‧顯示單元42‧‧‧Display unit
43‧‧‧作業系統43‧‧‧Operating system
5‧‧‧待測體5‧‧‧Subjects
S10至S17‧‧‧步驟S10 to S17‧‧‧ steps
S20至S27‧‧‧步驟S20 to S27‧‧‧ steps
第1圖係為本創作之活體辨識系統之方塊示意圖;第2圖係為本創作之具有活體辨識系統之身份認證裝置之方塊示意圖;第3圖係為本創作之活體辨識方法之流程示意圖;第4圖係為本創作之具有活體辨識機制之身份認證方法之流程示意圖;以及第5圖係為係為本創作之具有活體辨識機制之身份認證方法之另一實施例之流程示意圖。1 is a block diagram of a living body identification system of the present invention; FIG. 2 is a block diagram of an identity authentication device having a living body identification system; FIG. 3 is a schematic flow chart of a living body identification method of the present invention; Fig. 4 is a schematic flow chart of the identity authentication method with the living body identification mechanism of the present invention; and Fig. 5 is a flow chart showing another embodiment of the identity authentication method with the living body identification mechanism.
以下係藉由特定的具體實例說明本創作之實施方式,熟悉此技藝之人士可由本說明書所揭示之內容輕易地瞭解本創作之其他優點與功效。本創作亦可以其它不同的方式予以實施,即,在不悖離本創作所揭示之範疇下,能予不同之修飾與改變。The embodiments of the present invention are described below by way of specific specific examples, and those skilled in the art can readily appreciate the other advantages and effects of the present invention from the disclosure herein. This creation can also be implemented in a variety of different ways, that is, it can be modified and changed without departing from the scope of this creation.
請參閱第1圖,係為本創作之活體辨識系統之方塊示意圖。如圖所示,該活體辨識系統1係用以判斷待測體2是否為活體,其包括:資料庫10、提示模組11、影像擷取模組12、判斷模組13以及輸出模組14。以下即分別對本 創作之活體辨識系統1中的各物件進行詳細說明:該資料庫10係儲存有至少一行為特性參數或/及物理特性參數以及與該至少一行為特性參數或/及物理特性參數對應之至少一活體判斷標準,於本實施例中,該行為特性參數係選自後述之至少一者:臉部特徵移動以及肢體移動,其中,該臉部特徵移動可為眨眼、嘴巴運動、眼珠運動、鼻子運動、眉部運動以及臉部肌肉運動之其中至少一者,該肢體移動係可為頭部運動、肩膀運動以及四肢運動之其中至少一者,該活體判斷標準係對應該行為特性參數而選自後述之至少一者:眼睛是否眨動、嘴巴是否運動、眼珠是否轉動、鼻子是否有移動、眉部是否有移動、表情是否有變化、頭部是否轉動、頭部是否上下移動、頭部是否進行俯仰移動、肩膀是否有移動、手腳是否有移動。需說明的是,實際實施時,該行為特性參數(臉部特徵移動以及肢體移動)與該活體判斷標準之實施內容並非以本實施例所限制,且該行為特性參數(臉部特徵移動以及肢體移動)與該活體判斷標準之數量係可依實際需求進行調整。Please refer to Fig. 1, which is a block diagram of the living body identification system of the present invention. As shown in the figure, the living body identification system 1 is configured to determine whether the object to be tested 2 is a living body, and includes: a database 10, a prompting module 11, an image capturing module 12, a determining module 13, and an output module 14. . The following are separate Each object in the created living body identification system 1 is described in detail: the database 10 stores at least one behavior characteristic parameter and/or physical characteristic parameter and at least one corresponding to the at least one behavior characteristic parameter and/or physical characteristic parameter. In the present embodiment, the behavior characteristic parameter is selected from at least one of the following: facial feature movement and limb movement, wherein the facial feature movement may be blinking, mouth movement, eye movement, nose movement At least one of the eye movement and the facial muscle movement, the limb movement system may be at least one of a head movement, a shoulder movement, and a limb movement, and the living body judgment standard is selected from the following description of the behavior characteristic parameter. At least one of them: whether the eye is moving, whether the mouth is moving, whether the eyeball is rotating, whether the nose is moving, whether the eyebrows are moving, whether the expression changes, whether the head is rotated, whether the head is moving up and down, whether the head is tilted or not. Move, shoulders move, hands and feet move. It should be noted that, in actual implementation, the performance characteristic parameters (face feature movement and limb movement) and the implementation content of the living body judgment standard are not limited by the embodiment, and the behavior characteristic parameter (face feature movement and limbs) The number of mobile and the living body judgment criteria can be adjusted according to actual needs.
該提示模組11係與該資料庫10電性連接,用以依據該資料庫10中所儲存之行為特性參數,產生至少一提示訊息予該待測體2,以供該待測體2依據該提示訊息進行相應地行為動作。於本實施例中,該提示模組11所產生之至少一提示訊息係包括間隔一定時間(可為預設者或為內建之時間區段)之第一階段提示訊息及第二階段提示訊息,且該提示模組11係以聲音、影像、燈號或前述中至少二者之 組合的方式呈現該提示訊息(第一階段提示訊息及第二階段提示訊息),而當該資料庫10中所儲存之行為特性參數為複數個時,該提示模組11係可依據該行為特性參數隨機或依據預設之個數進行多種提示訊息的組合,請容後以範例進行說明。The prompting module 11 is electrically connected to the database 10 for generating at least one prompt message to the object to be tested 2 according to the behavior characteristic parameter stored in the database 10, for the object to be tested 2 to be based on The prompt message performs the corresponding behavioral action. In this embodiment, the at least one prompt message generated by the prompting module 11 includes a first stage prompt message and a second stage prompt message at a certain time interval (which may be a preset or a built-in time zone). And the prompt module 11 is composed of at least two of sound, image, light number or the foregoing The prompt message (the first stage prompt message and the second stage prompt message) is presented in a combined manner, and when the behavior characteristic parameter stored in the database 10 is plural, the prompt module 11 can be based on the behavior characteristic. The parameters are random or a combination of various prompt messages according to the preset number. Please use the example to explain.
該影像擷取模組12係與該資料庫10電性連接,用以擷取該待測體2之特定(例如中性表情)或行為動作之影像,並予以暫存至該資料庫10中。於本實施例中,該影像擷取模組12可例如為攝影機或照相機等,且該影像擷取模組12係分別擷取該待測體2於該提示模組11所產生之該第一階段提示訊息之特定或行為動作之影像及該第二階段提示訊息之特定或行為動作之影像,舉例來說,該提示模組11係依據該資料庫10中所儲存之行為特性參數(眨眼)先發出第一階段提示訊息之聲音(請張開眼睛或請直視鏡頭),此時,該影像擷取模組12即會擷取該待測體2之特定或行為動作之影像,接續,當該再提示模組11再發出第二階段提示訊息之聲音(請閉上眼睛或請眨眼)時,該影像擷取模組12亦會擷取該待測體2之特定或行為動作之影像,藉此,該影像擷取模組12即可在該第一階段提示訊息以及該第二階段提示訊息發出時,分別擷取到該待測體2之特定或行為動作之影像。於其它實施例中,上述之提示模組11並非必要存在者,亦即,並非一定要由該提示模組11產生至少一提示訊息予該待測體2,該影像擷取模組12方予以擷取該待測體2之特定或行為動作之影像,該影像 擷取模組12係可直接進行該待測體2之特定或行為動作之影像之擷取,且特定或行為動作之影像之擷取之次數可為複數次,例如持續於一段時間內連續擷取該待測體2之特定或行為動作之連續影像。The image capturing module 12 is electrically connected to the database 10 for capturing a specific (for example, neutral expression) or behavioral image of the object 2 to be tested and temporarily storing the image in the database 10. . In this embodiment, the image capturing module 12 can be, for example, a camera or a camera, and the image capturing module 12 captures the first generated by the object to be tested 2 in the prompting module 11 The image of the specific or behavioral action of the stage prompt message and the image of the specific or behavioral action of the second stage prompt message. For example, the prompt module 11 is based on the behavior characteristic parameter stored in the database 10 (wink) First, the sound of the first stage prompt message is sent (please open your eyes or look directly at the lens). At this time, the image capturing module 12 will capture the image of the specific or behavioral action of the object 2 to be tested, and then continue. When the re-prompt module 11 sends out the sound of the second-stage prompt message (please close the eyes or blink the eyes), the image capturing module 12 also captures the image of the specific or behavioral action of the object 2 to be tested. In this way, the image capturing module 12 can capture the image of the specific or behavioral action of the object 2 to be detected when the first stage prompt message and the second stage prompt message are sent. In other embodiments, the prompting module 11 is not necessarily present, that is, the prompting module 11 does not necessarily generate at least one prompt message to the object to be tested 2, and the image capturing module 12 Taking an image of the specific or behavioral action of the object 2 to be tested, the image The capture module 12 can directly capture the image of the specific or behavioral action of the object 2 to be tested, and the number of times the image of the specific or behavioral action can be captured can be multiple times, for example, continuous for a period of time. A continuous image of the specific or behavioral action of the object 2 to be tested is taken.
該判斷模組13係與該資料庫10電性連接,用以判斷暫存至該資料庫10中之該待測體2之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,若是,則判斷該待測體2為活體,若否,則判斷該待測體2為非活體。於本實施例中,該判斷模組13係將該影像擷取模組12分別擷取之該待測體2於該第一階段提示訊息及該第二階段提示訊息之特定或行為動作之影像進行比對,以判斷是否允符該資料庫10中所儲存之活體判斷標準,承前例而言,當該影像擷取模組12即在該第一階段提示訊息以及該第二階段提示訊息發出時,分別擷取到該待測體2之特定或行為動作之影像,且予以暫存至該資料庫10中時,該判斷模組13即將該待測體2於該第一階段提示訊息之特定或行為動作之影像與該待測體2於該第二階段提示訊息之特定或行為動作之影像進行比對,並依據比對結果判斷是否符合對應之活體判斷標準(該待測體2之眼睛是否眨動),若是,則判斷該待測體2為活體,若否,則判斷該待測體2為非活體。當然,於其它實施例中,除了依據上述的方式進行該待測體2是否為活體之判斷,亦可主要或搭配上述的方式依據該待測物2之物理特性參數(包括材質特性以及影像特性)來進行判斷,其中,該待測物2之材質特性 之判斷方式可例如:利用遠紅外線溫度偵測該待測物2之體表溫度分佈與梯度、進行該待測物2之皮膚的特定或多頻譜分析(利用各種材質在不同波長光源照明下之反射/吸收特性差異)、偵測該待測物2之皮膚的螢光效應或透過近紅外線進行該待測物2之紅眼效應的偵測等方式予以進行;該待測物2之影像特性之判斷方式可例如:偵側該待測物2之臉部旁邊是否有隨臉部移動且完全無變化之影像區域)、透過多方向對該待測物2之臉部進行打光以判斷影像的變化、偵測特定波長光源照明下活體成像與可見光照片/面具在該特定波長光源照明下成像之差異等方式予以進行。而上述依據該待測物2之物理特性參數(包括材質特性以及影像特性)來進行判斷時,復可搭配輔助模組15,該輔助模組15係與該資料庫10電性連接,用以依據該資料庫10中所儲存之物理特性參數,產生至少一輔助偵測作用(例如輔助濾鏡)或進行該影像擷取模組12的變焦控制或光線(遠紅外線或其它光線)予該待測體以偵測該待測物之體表溫度分佈與梯度、進行該待測物之皮膚的特定或多頻譜分析(利用各種材質在不同波長光源照明下之反射/吸收特性差異)、偵測該待測物之皮膚的螢光效應、進行該待測物之紅眼效應的偵測、偵側該待測物之臉部旁邊是否有隨臉部移動且完全無變化之影像區域、對該待測物之臉部進行多方向的打光、偵測特定波長光源照明下活體成像與可見光照片/面具在該特定波長光源照明下成像之差異,俾輔助該判斷模組13依據該活體判斷標準進行該待測物是否 為活體之判斷。The determining module 13 is electrically connected to the database 10 for determining whether the image of the specific or behavioral action of the object 2 to be temporarily stored in the database 10 is allowed to be stored in the database. Judging the criterion, if yes, determining that the object 2 to be tested is a living body, and if not, determining that the body 2 to be tested is a non-living body. In the embodiment, the determining module 13 is configured to capture the image of the first stage prompt message and the second stage prompt message of the object 2 by the image capturing module 12 The comparison is performed to determine whether the living body judgment standard stored in the database 10 is allowed. In the previous example, when the image capturing module 12 is in the first stage prompt message and the second stage prompt message is sent out When the image of the specific or behavioral action of the object 2 is captured and temporarily stored in the database 10, the determining module 13 prompts the object 2 to display the message in the first stage. The image of the specific or behavioral action is compared with the image of the specific or behavioral action of the second-stage prompting message of the object to be tested 2, and whether the corresponding living body judgment criterion is met according to the comparison result (the body 2 to be tested) Whether the eye is swaying, and if so, determining that the object 2 to be tested is a living body, and if not, determining that the object 2 to be tested is a non-living body. Of course, in other embodiments, in addition to determining whether the object to be tested 2 is a living body according to the above manner, the physical property parameters (including material properties and image characteristics) of the object to be tested 2 may be mainly or in combination with the above manner. ) to judge, wherein the material properties of the object 2 to be tested The determination manner may be, for example, detecting the body surface temperature distribution and the gradient of the object to be tested 2 by using the far infrared ray temperature, and performing specific or multi-spectral analysis of the skin of the object to be tested 2 (using various materials under different wavelengths of light source illumination) The difference in reflection/absorption characteristics), the detection of the fluorescence effect of the skin of the object to be tested 2, or the detection of the red-eye effect of the object 2 by the near-infrared light; the image characteristics of the object 2 to be tested The determining manner may be, for example, detecting whether there is an image area moving along the face of the object to be tested 2 and having no change at all, and the face of the object to be tested 2 is polished in multiple directions to determine the image. The change, the detection of the living body imaging under the illumination of the specific wavelength source and the difference in the imaging of the visible light photo/mask under the illumination of the particular wavelength source are performed. The auxiliary module 15 is electrically connected to the data library 10 for judging according to the physical characteristic parameters (including the material characteristics and the image characteristics) of the object 2 to be tested. Depending on the physical characteristic parameters stored in the database 10, at least one auxiliary detection function (such as an auxiliary filter) or zoom control or light (far infrared or other light) of the image capturing module 12 is generated. Measuring the body surface temperature distribution and gradient of the object to be tested, performing specific or multi-spectral analysis of the skin of the object to be tested (using different materials to reflect differences in reflection/absorption characteristics under different wavelengths of light source illumination), detecting The fluorescent effect of the skin of the test object, the detection of the red-eye effect of the object to be tested, and whether there is an image area moving along the face and completely unchanged, on the side of the face of the object to be tested, The face of the measuring object performs multi-directional lighting, detects the difference between the living body imaging under the illumination of the specific wavelength source and the imaging of the visible light photo/mask under the illumination of the specific wavelength source, and assists the determining module 13 according to the living body judgment mark. The test was carried out whether the For the judgment of living body.
該輸出模組14係與該判斷模組13電性連接,用以輸出具有該判斷模組13之判斷結果之訊息。於本實施例中,該判斷模組13之判斷結果之訊息係為該待測體2為活體或該待測體2為非活體之訊息,而判斷模組13之判斷結果之訊息並非限制於用以供觀看之顯示訊息,亦可為與所應用之電子裝置中之物件進行溝通之電訊號。The output module 14 is electrically connected to the determining module 13 for outputting a message having the determination result of the determining module 13. In this embodiment, the message of the judgment result of the determination module 13 is that the object to be tested 2 is a living body or the object to be tested 2 is a non-living message, and the message of the judgment result of the determination module 13 is not limited to The display message for viewing may also be a telecommunication signal for communicating with the object in the applied electronic device.
再請參閱第2圖,係為本創作之具有活體辨識系統之身份認證裝置之方塊示意圖。如圖所示,該具有活體辨識系統之身份認證裝置3係用以判斷待測體5是否為合法使用者,且於本實施例中,該具有活體辨識系統之身份認證裝置3係搭載至資料處理裝置4中,而該資料處理裝置4例如為桌上型電腦(DT)、筆記型電腦(NB)或個人隨身助理(PDA)等電子裝置,其至少具有致能模組40、中央處理單元(CPU)41、顯示單元42(例如為液晶顯示器)以及作業系統(OS)43,其中,該致能模組40係用以供該中央處理單元41觸發以致能該具有活體辨識系統之身份認證裝置3,俾使該具有活體辨識系統之身份認證裝置3開始執行身份認證之工作,當然,該觸發之動作係可由該中央處理單元41自動於該資料處理裝置4開機時自動進行,亦可由該待測體5自行觸發(例如按下特定的按鍵等方式)。需另外說明的是,前述內容中以及對應的圖式中僅羅列該資料處理裝置4中與本案相關之物件,並非以該等物件限制該資料處理裝置4中所具有之物件。Referring to FIG. 2 again, it is a block diagram of the identity authentication device with the living body identification system. As shown in the figure, the identity authentication device 3 having the living body identification system is used to determine whether the object to be tested 5 is a legitimate user, and in the embodiment, the identity authentication device 3 having the living body identification system is mounted to the data. In the processing device 4, the data processing device 4 is, for example, an electronic device such as a desktop computer (DT), a notebook computer (NB) or a personal portable assistant (PDA), and has at least an enabling module 40 and a central processing unit. (CPU) 41, a display unit 42 (for example, a liquid crystal display), and an operating system (OS) 43, wherein the enabling module 40 is configured to be triggered by the central processing unit 41 to enable the identity authentication with the living body identification system. The device 3 causes the identity authentication device 3 having the biometric identification system to start performing identity authentication. Of course, the triggering action can be automatically performed by the central processing unit 41 when the data processing device 4 is powered on, or The object to be tested 5 triggers itself (for example, by pressing a specific button, etc.). It should be noted that, in the foregoing and corresponding drawings, only the items related to the present case in the data processing device 4 are listed, and the items in the data processing device 4 are not restricted by the objects.
該具有活體辨識系統之身份認證裝置3包括:資料庫30、提示模組31、影像擷取模組32、判斷模組33以及輸出模組34。The identity authentication device 3 with the living body recognition system includes a database 30, a prompt module 31, an image capture module 32, a determination module 33, and an output module 34.
需先說明的是,該具有活體辨識系統之身份認證裝置3中的提示模組31以及影像擷取模組32係與上述(如第1圖所示)之活體辨識系統1中的提示模組11以及影像擷取模組12之實施方式相同,故於此不復予贅述。以下僅對於該具有活體辨識系統之身份認證裝置3中的該資料庫30、該判斷模組33以及該輸出模組34進行詳細說明。It should be noted that the prompting module 31 and the image capturing module 32 in the identity authentication device 3 having the living body identification system are related to the prompting module in the living body identification system 1 (as shown in FIG. 1). 11 and the image capturing module 12 are implemented in the same manner, and thus are not described herein. Hereinafter, only the database 30, the determination module 33, and the output module 34 in the identity authentication device 3 having the biometric identification system will be described in detail.
該資料庫30係儲存有合法使用者之臉部影像特徵、至少一行為特性參數或/及物理特性參數以及與該至少一行為特性參數或/及物理特性參數對應之至少一活體判斷標準。於本實施例中,該資料庫30與上述(如第1圖所示)之活體辨識系統1中的資料庫10之差異僅在於儲存的資料不同,亦即,該資料庫30中除了儲存有至少一行為特性參數以及與該至少一行為特性參數對應之至少一活體判斷標準之外,復儲存有合法使用者之臉部影像特徵,以作為後續判斷合法使用者之依據。The database 30 stores at least one behavioral parameter of the legal user, at least one behavioral characteristic parameter and/or physical characteristic parameter, and at least one living body determination criterion corresponding to the at least one behavioral characteristic parameter and/or the physical characteristic parameter. In the present embodiment, the database 30 differs from the database 10 in the living body identification system 1 (shown in FIG. 1) only in that the stored data is different, that is, the database 30 is stored in addition to The at least one behavior characteristic parameter and the at least one living body judgment standard corresponding to the at least one behavior characteristic parameter further store the facial image feature of the legal user as a basis for subsequent determination of the legal user.
該判斷模組33係與該資料庫30電性連接,用以判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之活體判斷標準,且判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之合法使用者之臉部影像特徵,並於兩者之判斷結果皆為是時,判斷該待測體為 合法使用者,否則,則判斷該待測體為非合法使用者。於本實施例中,該判斷模組33與上述(如第1圖所示)之活體辨識系統1中的判斷模組13之差異僅在於判斷的內容不同,亦即,該判斷模組33除了判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之活體判斷標準之外,復判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之合法使用者之臉部影像特徵,藉此對該待測物5進行身份認證。而實際實施時,並不限定前述兩種的判斷流程之順序,亦即,該判斷模組33可先判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之活體判斷標準,若否,則判斷該待測體5為非合法使用者,若是,則進一步判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之合法使用者之臉部影像特徵,若否,則判斷該待測體5為非合法使用者,若是,則判斷該待測體5為合法使用者,或該判斷模組33可先判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之合法使用者之臉部影像特徵,若否,則判斷該待測體5為非合法使用者,若是,則進一步判斷暫存至該資料庫30中之該待測體5之特定或行為動作之影像是否允符該資料庫30中所儲存之活體判斷標準,若否,則判斷該待測體5為非合法使用者,若是,則判斷該待測體5為合法使用者。當然,該判斷模組亦可 如前述依據該待測物5之物理特性參數(材質特性以及影像特性)來進行主要或搭配上述的方式進行判斷。The determining module 33 is electrically connected to the database 30 for determining whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database 30 is allowed to be stored in the database 30. The living body judges the standard, and determines whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database 30 is allowed to conform to the facial image feature of the legitimate user stored in the database 30, and When the judgment result is yes, it is judged that the object to be tested is A legitimate user, otherwise, the object to be tested is judged to be an illegal user. In this embodiment, the difference between the determination module 33 and the determination module 13 in the living body recognition system 1 (as shown in FIG. 1) is only that the content of the determination is different, that is, the determination module 33 is apart from Determining whether the image of the specific or behavioral action of the object to be tested 5 temporarily stored in the database 30 is allowed to be stored in the database 30 in addition to the living body judgment standard stored in the database 30 Whether the image of the specific or behavioral action of the object to be tested 5 conforms to the facial image feature of the legitimate user stored in the database 30, thereby authenticating the object 5 to be tested. In actual implementation, the order of the foregoing two types of determination processes is not limited, that is, the determination module 33 may first determine whether the image of the specific or behavioral action of the object to be tested 5 temporarily stored in the database 30 is The living body judgment standard stored in the database 30 is allowed, and if not, it is determined that the object to be tested 5 is an illegal user, and if so, the object to be tested temporarily stored in the database 30 is further determined. Whether the image of the specific or behavioral action is allowed to be a facial image feature of the legitimate user stored in the database 30, and if not, determining that the object to be tested 5 is an illegal user, and if so, determining the object to be tested 5 is a legitimate user, or the judging module 33 can first determine whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database 30 is allowed to be stored in the legal user 30. The facial image feature, if not, determines that the subject 5 is an unlawful user, and if so, further determines whether the image of the specific or behavioral action of the subject 5 temporarily stored in the database 30 is acceptable. The living body judgment standard stored in the database 30, if Otherwise, it is determined that the object to be tested 5 is an illegal user, and if so, it is determined that the object to be tested 5 is a legitimate user. Of course, the judgment module can also As described above, the physical property parameters (material characteristics and image characteristics) of the object 5 to be tested are mainly or in combination with the above-described manner.
該輸出模組34係與該判斷模組33電性連接,用以輸出具有該判斷模組33之判斷結果之訊息。於本實施例中,該判斷模組33之判斷結果之訊息係為該待測體5為合法使用者或該待測體5為非合法使用者之訊息,而於此實施例中,該判斷模組33之判斷結果之訊息係用以傳輸予該資料處理裝置4之中央處理單元41,以供該中央處理單元41將該判斷模組33之判斷結果之訊息傳輸至該資料處理裝置4之顯示單元42,並予以顯示,同時,該中央處理單元41會依據該判斷模組33之判斷結果之訊息來啟動或不啟動該資料處理裝置4之作業系統43,進一步言,當該判斷模組33之判斷結果之訊息為該待測體5為合法使用者時,該中央處理單元41則啟動該作業系統43,俾使該待測物5(合法使用者)可使用該資料處理裝置4,反之,當該判斷模組33之判斷結果之訊息為該待測體5為非合法使用者時,該中央處理單元41則不啟動該作業系統43,俾使該待測物5(非合法使用者)無法使用該資料處理裝置4。此外,於其它實施例中,該具有活體辨識系統之身份認證裝置3亦可應用於其他機制,例如資料保護機制等,亦即,對於已加密之資料,必需通過身份認證後,方可使用該資料或是於身份認證後方予進行作業系統上之應用程式之啟動,並非以本實施例所述之身份認證後方予進行作業系統之啟動予以限制。The output module 34 is electrically connected to the determining module 33 for outputting a message having the determination result of the determining module 33. In this embodiment, the message of the judgment result of the determining module 33 is a message that the object to be tested 5 is a legitimate user or the object to be tested 5 is an unlawful user, and in this embodiment, the judgment is The message of the result of the determination by the module 33 is transmitted to the central processing unit 41 of the data processing device 4 for the central processing unit 41 to transmit the message of the determination result of the determination module 33 to the data processing device 4. The display unit 42 is displayed and displayed. At the same time, the central processing unit 41 activates or deactivates the operating system 43 of the data processing device 4 according to the message of the determination result of the determining module 33. Further, when the determining module When the message of the judgment result of 33 is that the object to be tested 5 is a legitimate user, the central processing unit 41 activates the operating system 43 to enable the object to be tested 5 (legal user) to use the data processing device 4, On the other hand, when the message of the judgment result of the judging module 33 is that the object to be tested 5 is an illegal user, the central processing unit 41 does not activate the operating system 43 to cause the object to be tested 5 to be used illegally. Can not use this information Processing means 4. In addition, in other embodiments, the identity authentication device 3 having the living body identification system can also be applied to other mechanisms, such as a data protection mechanism, etc., that is, the encrypted data must be authenticated before being used. The activation of the application on the operating system after the identification of the information is not limited by the activation of the operating system described in this embodiment.
需另外說明的是,該具有活體辨識系統之身份認證裝置3中的提示模組31係可以與該資料處理裝置4之顯示單元42進行整合或分離設置。It should be noted that the prompt module 31 in the identity authentication device 3 with the living body identification system can be integrated or separated from the display unit 42 of the data processing device 4.
另請參閱第3圖,係為本創作之活體辨識方法之流程示意圖。如圖所示,該活體辨識方法係用以判斷待測體是否為活體,該活體辨識方法首先執行步驟S10。Please also refer to Fig. 3, which is a schematic flow chart of the living body identification method of the present invention. As shown in the figure, the living body identification method is used to determine whether the object to be tested is a living body. The living body identification method first performs step S10.
於步驟S10中,係建置儲存有至少一行為特性參數或/及物理特性參數以及與該至少一行為特性參數或/及物理特性參數對應之至少一活體判斷標準之資料庫,接著進至步驟S11。In step S10, a database storing at least one behavior characteristic parameter and/or physical characteristic parameter and at least one living body judgment standard corresponding to the at least one behavior characteristic parameter and/or the physical characteristic parameter is established, and then proceeds to the step. S11.
於步驟S11中,係依據該資料庫中所儲存之行為特性參數,產生至少一提示訊息予該待測體,以供該待測體依據該提示訊息進行相應地行為動作,接著進至步驟S12。In step S11, at least one prompt message is generated to the object to be tested according to the behavior characteristic parameter stored in the database, so that the object to be tested performs the corresponding behavior according to the prompt message, and then proceeds to step S12. .
於步驟S12中,係擷取該待測體之特定或行為動作之影像,並予以暫存至該資料庫中,接著進至步驟S13。In step S12, the image of the specific or behavioral action of the object to be tested is captured and temporarily stored in the database, and then proceeds to step S13.
於步驟S13中,係判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,若是,則進至步驟S14,若否,則進至步驟S15。In step S13, it is determined whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database, and if yes, proceeding to step S14, if not Then, the process proceeds to step S15.
於步驟S14中,係判斷該待測體為活體,接著進至步驟S16。In step S14, it is determined that the object to be tested is a living body, and then proceeds to step S16.
於步驟S15中,係判斷該待測體為非活體,接著進至步驟S17。In step S15, it is determined that the object to be tested is a non-living body, and then proceeds to step S17.
於步驟S16中,係輸出該待測體為活體之訊息。In step S16, the message that the object to be tested is a living body is output.
於步驟S17中,係輸出該待測體為非活體之訊息。In step S17, the object to be tested is output as a non-living message.
需說明的是,本創作之活體辨識方法所揭之上述步驟中的詳細實施方式係類似於上述(如第1圖所示)之活體辨識系統1中各物件,故於此不復予贅述。而於步驟S13前,復可依據該資料庫中所儲存之物理特性參數,產生至少一輔助偵測作用或光線予該待測體,以偵測該待測物之體表溫度分佈與梯度、進行該待測物之皮膚的特定或多頻譜分析(利用各種材質在不同波長光源照明下之反射/吸收特性差異)、偵測該待測物之皮膚的螢光效應、進行該待測物之紅眼效應的偵測、偵側該待測物之臉部旁邊是否有隨臉部移動且完全無變化之影像區域、對該待測物之臉部進行多方向的打光、偵測特定波長光源照明下活體成像與可見光照片/面具在該特定波長光源照明下成像之差異,俾輔助判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準。It should be noted that the detailed implementation of the above steps disclosed in the living body identification method of the present invention is similar to the objects in the living body identification system 1 described above (as shown in FIG. 1), and thus will not be described herein. Before step S13, the at least one auxiliary detection function or light is generated according to the physical characteristic parameter stored in the database to detect the body surface temperature distribution and the gradient of the object to be tested. Performing specific or multi-spectral analysis of the skin of the test object (using different materials to reflect differences in reflection/absorption characteristics under different wavelengths of light source illumination), detecting the fluorescent effect of the skin of the test object, and performing the test object The red-eye effect is detected, and there is an image area along the face of the object to be tested that moves with the face and is completely unchanged, and the face of the object to be tested is multi-directionally illuminated to detect a specific wavelength light source. The difference between the imaging of the living body under illumination and the imaging of the visible light photo/mask under the illumination of the specific wavelength source, and the determination of whether the image of the specific or behavioral action temporarily stored in the database is allowed in the database The standard of living judgment for storage.
再請參閱第4圖,係為本創作之具有活體辨識機制之身份認證方法之流程示意圖。如圖所示,該具有活體辨識機制之身份認證方法係用以判斷待測體是否為合法使用者,該具有活體辨識機制之身份認證方法首先執行步驟S20。Referring to FIG. 4 again, it is a schematic flow chart of the identity authentication method with the living body identification mechanism. As shown in the figure, the identity authentication method with the living body identification mechanism is used to determine whether the object to be tested is a legitimate user. The identity authentication method with the living body identification mechanism first performs step S20.
於步驟S20中,係建置儲存有合法使用者之臉部影像特徵、至少一行為特性參數或/及物理特性參數以及與該至少一行為特性參數或/及物理特性參數對應之至少一活體判斷標準之資料庫,接著進至步驟S21。In step S20, the facial image feature storing the legal user, the at least one behavior characteristic parameter and/or the physical characteristic parameter, and at least one living body judgment corresponding to the at least one behavior characteristic parameter and/or the physical characteristic parameter are established. The standard database is then proceeding to step S21.
於步驟S21中,係依據該資料庫中所儲存之行為特性參數,產生至少一提示訊息予該待測體,以供該待測體依據該提示訊息進行相應地行為動作,接著進至步驟S22。In step S21, at least one prompt message is generated to the object to be tested according to the behavior characteristic parameter stored in the database, so that the object to be tested performs the corresponding behavior according to the prompt message, and then proceeds to step S22. .
於步驟S22中,係擷取該待測體之特定或行為動作之影像,並予以暫存至該資料庫中,接著進至步驟S23。In step S22, the image of the specific or behavioral action of the object to be tested is captured and temporarily stored in the database, and then proceeds to step S23.
於步驟S23中,係判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,若是,則進至步驟S24,若否,則進至步驟S26。In step S23, it is determined whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database, and if yes, proceeding to step S24, if not Then, the process proceeds to step S26.
於步驟S24中,係判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之合法使用者之臉部影像特徵,若是,則進至步驟S25,若否,則進至步驟S26。In step S24, it is determined whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is suitable for the facial image feature of the legitimate user stored in the database, and if so, proceeds to In step S25, if no, the process proceeds to step S26.
於步驟S25中,係判斷該待測體為合法使用者,接著進至步驟S27。In step S25, it is determined that the object to be tested is a legitimate user, and then proceeds to step S27.
於步驟S26中,係判斷該待測體為非合法使用者,接著進至步驟S28。In step S26, it is determined that the object to be tested is an illegal user, and then proceeds to step S28.
於步驟S27中,係輸出該待測體為合法使用者之訊息。In step S27, the message that the object to be tested is a legitimate user is output.
於步驟S28中,係輸出該待測體為非合法使用者之訊息。In step S28, the message that the object to be tested is an illegal user is output.
需說明的是,本創作之具有活體辨識機制之身份認證方法所揭之上述步驟中的詳細實施方式係類似於上述(如第2圖所示)之具有活體辨識系統之身份認證裝置3中各物件,故於此不復予贅述。而於步驟S23前,復可依據該資 料庫中所儲存之物理特性參數,產生至少一輔助偵測作用或光線予該待測體,以偵測該待測物之體表溫度分佈與梯度、進行該待測物之皮膚的特定或多頻譜分析(利用各種材質在不同波長光源照明下之反射/吸收特性差異)、偵測該待測物之皮膚的螢光效應、進行該待測物之紅眼效應的偵測、偵側該待測物之臉部旁邊是否有隨臉部移動且完全無變化之影像區域、對該待測物之臉部進行多方向的打光、偵測特定波長光源照明下活體成像與可見光照片/面具在該特定波長光源照明下成像之差異,俾輔助判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準,且判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之合法使用者之臉部影像特徵。It should be noted that the detailed implementation method of the above-mentioned steps disclosed in the identity authentication method with the living body identification mechanism of the present invention is similar to the above-mentioned (as shown in FIG. 2) each of the identity authentication devices 3 having the living body identification system. Objects, so I will not repeat them here. And before step S23, the reinstatement is based on the capital The physical property parameter stored in the library generates at least one auxiliary detection function or light to the object to be detected, to detect a body surface temperature distribution and a gradient of the object to be tested, and to perform a skin specificity of the object to be tested or Multi-spectral analysis (using different materials to reflect the difference in reflection/absorption characteristics under illumination of different wavelengths), detecting the fluorescence effect of the skin of the object to be tested, detecting the red-eye effect of the object to be tested, and detecting the side Is there an image area moving along the face and completely unchanged, the face of the object to be tested is multi-directionally illuminated, and the living body imaging and visible light photo/mask are detected under illumination of a specific wavelength source. The difference in imaging under the illumination of the specific wavelength source, and the determination of whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database, and the temporary storage is judged Whether the image of the specific or behavioral action of the object to be tested in the database is allowed to conform to the facial image feature of the legitimate user stored in the database.
此外,如第5圖所示,於本創作之具有活體辨識機制之身份認證方法之另一實施例中,步驟S23亦可先判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之合法使用者之臉部影像特徵,並於步驟S24再判斷暫存至該資料庫中之該待測體之特定或行為動作之影像是否允符該資料庫中所儲存之活體判斷標準。In addition, as shown in FIG. 5, in another embodiment of the identity authentication method with the living body identification mechanism of the present invention, step S23 may also first determine the specificity or behavior of the object to be tested temporarily stored in the database. Whether the image of the action is allowed to conform to the facial image feature of the legitimate user stored in the database, and in step S24, it is determined whether the image of the specific or behavioral action of the object to be tested temporarily stored in the database is The living body judgment standard stored in the database.
再者,於上述第1圖至第5圖所揭示之活體辨識系統與活體辨識方法以及身份認證裝置與身份認證方法中,亦可省略由提示模組11依據該資料庫中所儲存之行為特性參數,產生至少一提示訊息予該待測體,以供該待測體, 以供該待測體依據該提示訊息進行相應地行為動作之步驟,亦即該判斷模組13可直接該判斷暫存至該資料庫10中之該待測體2之特定或行為動作之影像/或連續影像是否允符該資料庫10中所儲存之活體判斷標準之步驟,即將擷取之該待測體2之特定或行為動作之影像/或連續影像進行比對,以判斷是否允符該資料庫10中所儲存之活體判斷標準;且在其他實施例中,本創作所揭示之活體辨識系統與活體辨識方法以及身份認證裝置與身份認證方法復可進一步分析臉部不同部位之清晰度,並可伴隨變動影像擷取模組景深/焦距之機制,以驗證待測體之立體結構,即依據變動景深/焦距分別擷取該待測體於不同部位之特定或行為動作之影像/或連續影像進行清晰度比對的步驟,以判斷該待測體2是否為立體結構,若是,則判斷是否允符該資料庫中所儲存之活體判斷標準,若否,則判斷該待測體為非活體,俾進一步排除非合法使用者利用合法使用者的照片、圖片、影片、平面或立體人偶等非活體的物體試圖欺騙身份辨識系統,進而使身份辨識系統產生誤判。Furthermore, in the living body identification system and the living body identification method and the identity authentication device and the identity authentication method disclosed in the above FIG. 1 to FIG. 5, the behavioral characteristics stored in the database by the prompting module 11 may also be omitted. a parameter, generating at least one prompt message to the object to be tested, for the object to be tested, The step of performing the corresponding behavioral action on the object to be tested according to the prompt message, that is, the determining module 13 can directly determine the image of the specific or behavioral action of the object to be tested temporarily stored in the database 10. And/or whether the continuous image is allowed to match the living body judgment standard stored in the database 10, and the image or the continuous image of the specific or behavioral action of the sample to be tested 2 is compared to determine whether the symbol is allowed The living body judgment standard stored in the database 10; and in other embodiments, the living body identification system and the living body identification method and the identity authentication device and the identity authentication method disclosed in the present invention can further analyze the clarity of different parts of the face. And the mechanism for capturing the depth of field/focal length of the module can be used to verify the stereoscopic structure of the object to be tested, that is, to capture the image of the specific or behavioral action of the object to be tested in different parts according to the variable depth of field/focal length. The continuous image is subjected to a step of sharpness comparison to determine whether the object 2 to be tested is a three-dimensional structure, and if so, whether or not the living body judgment standard stored in the database is accepted. If not, it is determined that the object to be tested is non-living, and further excludes the non-legal user from using a legal user's photo, picture, film, plane or three-dimensional figure to try to deceive the identity recognition system, thereby making the identity The identification system produces a false positive.
綜上所述,本創作之活體辨識系統,主要係先預存行為特性參數或/及物理特性參數以及與該行為特性參數或/及物理特性參數對應之活體判斷標準,接續擷取該待測體之特定或行為動作之影像/或連續影像,再判斷暫存至該資料庫中之該待測體之特定或行為動作之影像/或連續影像是否允符該資料庫中所儲存之活體判斷標準,若是,則判斷該待測體為活體,若否,則判斷該待測體為非活體,而 本創作之身份認證裝置即運用該活體辨識系統搭配判斷該待測體之特定或行為動作之影像/或連續影像是否允符預存之合法使用者之臉部影像特徵,藉以確認該待測體是否為合法使用者,相較於習知技術者,透過本創作之活體辨識技術即可確認待測體是否為活體,對於身份認證之機制而言,則可減少誤判之情況,進而避免因非法使用者入侵,所造成之資料外洩、遺失或損毀之情事發生。In summary, the living body identification system of the present invention mainly includes the pre-existing behavior characteristic parameter and/or the physical characteristic parameter and the living body judgment standard corresponding to the behavior characteristic parameter or/and the physical characteristic parameter, and successively extracting the object to be tested. The image or the continuous image of the specific or behavioral action, and then determine whether the image or the continuous image of the specific or behavioral action of the object to be tested temporarily stored in the database is allowed to meet the living body judgment standard stored in the database. If yes, it is determined that the object to be tested is a living body, and if not, it is determined that the object to be tested is not a living body, and The identity authentication device of the present invention uses the living body identification system to determine whether the image or the continuous image of the specific or behavioral motion of the object to be tested is allowed to pre-store the facial image feature of the legitimate user, thereby confirming whether the object to be tested is For legitimate users, it is possible to confirm whether the object to be tested is a living body through the living identification technology of the present invention. For the mechanism of identity authentication, the misjudgment can be reduced, thereby avoiding illegal use. Intrusion, the resulting information leaked, lost or damaged.
上述之實施例僅為例示性說明本創作之特點及其功效,而非用於限制本創作之實質技術內容的範圍。任何熟習此技藝之人士均可在不違背本創作之精神及範疇下,對上述實施例進行修飾與變化。因此,本創作之權利保護範圍,應如後述之申請專利範圍所列。The above-described embodiments are merely illustrative of the features and functions of the present invention, and are not intended to limit the scope of the technical content of the present invention. Any person skilled in the art can modify and change the above embodiments without departing from the spirit and scope of the present invention. Therefore, the scope of protection of this creation should be as listed in the scope of the patent application described later.
1‧‧‧活體辨識系統1‧‧‧ Living Identification System
10‧‧‧資料庫10‧‧‧Database
11‧‧‧提示模組11‧‧‧Tips module
12‧‧‧影像擷取模組12‧‧‧Image capture module
13‧‧‧判斷模組13‧‧‧Judgement module
14‧‧‧輸出模組14‧‧‧Output module
15‧‧‧輔助模組15‧‧‧Auxiliary module
2‧‧‧待測體2‧‧‧Subjects
Claims (32)
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| Application Number | Priority Date | Filing Date | Title |
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| TW102214636U TWM463878U (en) | 2009-03-12 | 2009-03-12 | Living body identification system and identity authentication device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW102214636U TWM463878U (en) | 2009-03-12 | 2009-03-12 | Living body identification system and identity authentication device |
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| TWM463878U true TWM463878U (en) | 2013-10-21 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI620088B (en) * | 2017-03-08 | 2018-04-01 | 捷而思股份有限公司 | Identity authentication system for avoiding identity theft |
| CN111046696A (en) * | 2018-10-12 | 2020-04-21 | 宏碁股份有限公司 | Living body identification method and electronic device |
| CN111046898A (en) * | 2018-10-12 | 2020-04-21 | 和硕联合科技股份有限公司 | Identity authentication method and electronic device using same |
| CN112036222A (en) * | 2019-06-04 | 2020-12-04 | 厦门星宸科技有限公司 | Face identification system and method |
| CN115862159A (en) * | 2022-12-01 | 2023-03-28 | 支付宝(杭州)信息技术有限公司 | Liveness detection method, device, equipment and storage medium |
-
2009
- 2009-03-12 TW TW102214636U patent/TWM463878U/en not_active IP Right Cessation
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI620088B (en) * | 2017-03-08 | 2018-04-01 | 捷而思股份有限公司 | Identity authentication system for avoiding identity theft |
| CN111046696A (en) * | 2018-10-12 | 2020-04-21 | 宏碁股份有限公司 | Living body identification method and electronic device |
| CN111046898A (en) * | 2018-10-12 | 2020-04-21 | 和硕联合科技股份有限公司 | Identity authentication method and electronic device using same |
| CN112036222A (en) * | 2019-06-04 | 2020-12-04 | 厦门星宸科技有限公司 | Face identification system and method |
| CN112036222B (en) * | 2019-06-04 | 2023-12-29 | 星宸科技股份有限公司 | Face recognition system and method |
| CN115862159A (en) * | 2022-12-01 | 2023-03-28 | 支付宝(杭州)信息技术有限公司 | Liveness detection method, device, equipment and storage medium |
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