201216172 六、發明說明： 【發明所屬之技術領威】 _]本發明是《於一種缺防騎置及其料，特別是有 關於-種利用真假手指彈性的不同以進行指紋防傷之指 紋防偽裝置及其方法。 【先前技術3 [_對於餘生物辨識應用，長久μ，對於假手指的辨別 -直是-個重要的研究。目前’有許多光㈣測的方法 ’例如透過紅外線技術則貞測皮下組織的生物特性（如 血氧漢度或者是錢的速度）’進㈣行真假手指的辨 別m類的方法_要複雜的紅外線光學機台 ’相對來說其成本較高；且由於此類複雜的光學系統不 易將感測元件財削、，料要求輕薄則、的攜帶式的 電子系統如手機或筆記型電腦來說，便以滿足其使用 者的需求。 [0003] 〇 近年來，此滿足輕薄短小的指紋感測裝置被成功地被開 發及應用在上述卿式電子I置上，其主要感測原理係 為非以光學方式來❹丨’錢藉由製作於料導體的微 :電極矩陣’且藉由人體的導電特性，來量測每一電極 二手指對絲積的電容值；其相應之_假手指的方式 =由㈣基本原理而來，透料綠抗的量測以鑑 別真皮膚及假手指材料的差別。 [0004] 099134819 可是，由於假手指材料的多樣性，目 美地模擬真手指的導電特性的材料出 膠所製成的假手指（gummy finger _1 第3頁/共21頁 前已有可以近乎完 現。例如，以果凍 )，其阻抗特性相似 0992060785-0 201216172 於人體皮膚，以致於感測裝置無法有效的辨認出真假手 指。所以，這種藉由手指皮膚導電特性量測以鑑別真假 手指的方法是有問題的。 [0005] 為此，本發明將採用另一種三度空間影像分析方式，以 解決上述問題。 【發明内容】 [0006] 有鑑於上述習知技藝之問題，本發明之目的就是在提供 一種指紋防偽裝置及其方法，以解決習知的指紋防偽方 法因真假手指的濕度及電阻值重疊範圍過大而無法有效 進行指紋防偽。 [0007] 根據本發明之目的，提出一種指紋防偽裝置，其包含一 指紋擷取單元以及一處理單元。指紋擷取單元係連續地 擷取一手指之一指紋並根據指紋提供複數個指紋圖像。 處理單元則根據指紋圖像任二相鄰者之形變狀態而決定 一彈性值，當彈性值符合一預設彈性值範圍時，處理單 元即判斷手指為一爲造手指。 [0008] 其中，當彈性值不符合預設彈性值範圍時，處理單元即 判斷手指為一真實手指。 [0009] 其中，指紋擷取單元更設有一凸點，凸點係於手指上製 造形變，且處理單元係分析手指經過凸點後所產生之一 凹陷部的形變回復狀態而決定彈性值。 [0010] 其中，處理單元係分析手指經過凸點後所產生之一凹陷 部相對於手指未經過凸點之形變而決定彈性值。 [0011] 其中，處理單元係於辨識出指紋圖像所具有之一奇異點 099134819 表單編號A0101 第4頁/共21頁 0992060785-0 201216172 [0012] Ο [0013] [0014] [0015]Ο [0016] [0017] 後，以奇異點為中心向四周展開一區域範圍，處理單元 再分析指紋圖像於區域範圍内之形變而決定彈性值。 根據本發明之目的，再提出一種指紋防偽方法，其係適 用於一指紋防偽裝置，該指紋防偽裝置包含一指紋擷取 單元及一處理單元。指紋防偽方法包含以指紋擷取單元 係連續地擷取一手指之一指紋並根據指紋提供複數個指 紋圖像後，再以處理單元根據指紋圖像之任二相鄰者的 形變狀態而決定一彈性值，當彈性值符合一預設彈性值 範圍時，處理單元即判斷手指為一偽造手指。 其中，當彈性值不符合預設彈性值範圍時，處理單元即 判斷手指為一真實手指。 其中，指紋擷取單元更設有一凸點，凸點係於手指上製 造形變，且處理單元係分析手指經過凸點後所產生之一 凹陷部的形變回復狀態而決定彈性值。 其中，處理單元係分析手指經過凸點後所產生之一凹陷 部相對於手指未經過凸點之形變而決定彈性值。 其中，處理單元係於辨識出指紋圖像所具有之一奇異點 後，以奇異點為中心向四周展開一區域範圍，處理單元 再分析指紋圖像於區域範圍内之形變而決定彈性值。 承上所述，依本發明之指紋防偽裝置及其方法，其可具 有一或多個下述優點： (1)此指紋防偽裝置及其方法可藉由分析手指在滑過指 紋擷取模組時的形變狀態來進行指紋防偽，藉此可提高 指紋防偽之正確性。 099134819 表單編號Α0101 第5頁/共21頁 0992060785-0 201216172 ⑵此指紋防偽裝置及其方法可藉由分析從指紋圖像之 奇異點為中心向四周展開-區域範圍内之形變來進行指 、、’文防偽，藉此可有效提升指紋辨識及防偽的效率。 【實施方式】 [0018] [0019] Μ參閱第1圖’其係為本發明之指紋防偽裝置之方塊圖。 t圖所示，本發明之指紋防偽裝置卜其包含-指紋掏取 早疋10以及-處理單元u。指紋#|取單元1()係連續地掏 取一手指2之一指紋2〇並根據指紋2〇提供複數個指紋圖像 200、201、202。處理單元！！則根據指紋圖像2〇〇、2〇ι 、202任二相鄰者之形變狀態而決定一彈性值3，當彈性 值3符合一預設彈性值範圍4時，處理單元u即判斷手指2 為一偽造手指。另外’當彈性值3不符合預設彈性值範圍 4時，處理單元π即判斷手指2為一真實手指。 請參閱第2A圖，其係為本發明之指紋防偽裝置之第一實 施例示意圖。如圖所示，，紋擷，單元1〇係為一長條形 的感測器，而待進行身份轉證的使用者的手指2係以滑動 的方式滑過指紋擷取單元〗〇。指紋擷取單元1〇更設置有 一凸點100，此凸點1〇〇係用以於手指2上製造形變，使得 處理單元更容易分析手指2的形變狀態。由於本圖僅為示 意圖，當手指2經過凸點1〇〇後所產生的一凹陷部21在製 圖上便以留白的方式來表示，且其中更以虛線的方式來 示意凹陷部21的指紋變形漸漸回復的型態。當使用者按 手私2於晶紋掘取單元1 〇上並開始滑動時，處理單元隨即 分析手指2經過凸點後所產生之凹陷部2〗的形變回復 狀態而決定彈性值3 ;處理單元也可分析手指2經過凸點 099134819 表單編號A0101 第6頁/共21頁 0992060785-0 201216172 1 〇〇後所產生之一凹陷部21相對於手指2未經過凸點100 的部分，其兩者之間的形變狀態而決定彈性值3。 [0020] 清參閱第2Β圖，其係為本發明之指紋防偽裝置之第一實 施例之真假指紋形變不同的實際圖樣。如本圖左方所示 其係為假手指指紋圖像2 0 3，由於假手指的彈性值比較201216172 VI. Description of the invention: [Technology Leading to the Invention] _] The present invention is a fingerprint for preventing fingerprints from being used in a lack of riding and its materials, especially for the use of different types of fingers. Anti-counterfeiting device and method therefor. [Prior Art 3 [_ For residual identification applications, long-term μ, for the identification of fake fingers - straight is an important study. At present, there are many methods for measuring light (four), for example, through infrared technology to speculate on the biological characteristics of subcutaneous tissue (such as blood oxygenation or speed of money) 'into four (four) line of true and false fingers to identify the m class method _ to be complicated The infrared optical machine 'is relatively high in cost; and because such a complicated optical system is not easy to cut the sensing element, the portable electronic system such as a mobile phone or a notebook computer is required to be light and thin. To meet the needs of its users. [0003] In recent years, this thin and short fingerprint sensing device has been successfully developed and applied to the above-mentioned Qingyi electronic I. The main sensing principle is that it is not optically The micro-electrode matrix of the material conductor is fabricated and the capacitance value of the two fingers to the silk product of each electrode is measured by the conductive property of the human body; the corresponding method of the fake finger is derived from the basic principle of (4) The green resistance was measured to identify the difference between the real skin and the fake finger material. [0004] 099134819 However, due to the variety of fake finger materials, the fake finger made of the material that simulates the conductive properties of the real finger (gummy finger _1 page 3/21 pages can be almost finished) Now, for example, in jelly, its impedance characteristics are similar to 0992060785-0 201216172 on human skin, so that the sensing device cannot effectively recognize true and false fingers. Therefore, this method of measuring the true and false fingers by measuring the conductive properties of the finger skin is problematic. To this end, the present invention will employ another three-dimensional spatial image analysis method to solve the above problems. SUMMARY OF THE INVENTION [0006] In view of the above problems of the prior art, the object of the present invention is to provide a fingerprint anti-counterfeiting device and a method thereof to solve the conventional fingerprint anti-counterfeiting method due to the overlapping range of humidity and resistance values of true and false fingers Too large to be able to effectively perform fingerprint security. In accordance with the purpose of the present invention, a fingerprint anti-counterfeiting device is provided that includes a fingerprint capture unit and a processing unit. The fingerprint capture unit continuously captures one fingerprint of one finger and provides a plurality of fingerprint images according to the fingerprint. The processing unit determines an elasticity value according to the deformation state of any two neighbors of the fingerprint image. When the elasticity value conforms to a predetermined elastic value range, the processing unit determines that the finger is a finger. [0008] Wherein, when the elasticity value does not meet the preset elastic value range, the processing unit determines that the finger is a real finger. [0009] Wherein, the fingerprint capturing unit further has a bump, the bump is formed on the finger to deform, and the processing unit analyzes the deformation recovery state of the depressed portion generated by the finger after the bump passes to determine the elasticity value. [0010] Wherein, the processing unit determines that one of the depressed portions generated by the finger after the bump passes is deformed relative to the finger without being bumped to determine the elasticity value. [0011] wherein, the processing unit is configured to recognize that the fingerprint image has one of the singular points 099134819 Form No. A0101 Page 4 / Total 21 Page 0992060785-0 201216172 [0012] [0014] [0015] [0015] [ [0017] After that, a region range is developed around the singular point, and the processing unit analyzes the deformation of the fingerprint image in the region to determine the elasticity value. According to the purpose of the present invention, a fingerprint anti-counterfeiting method is further provided, which is applied to a fingerprint anti-counterfeiting device, and the fingerprint anti-counterfeiting device comprises a fingerprint capturing unit and a processing unit. The fingerprint anti-counterfeiting method comprises: continuously capturing one fingerprint of one finger by the fingerprint capturing unit and providing a plurality of fingerprint images according to the fingerprint, and then determining, by the processing unit, according to the deformation state of any two neighbors of the fingerprint image. The elastic value, when the elastic value meets a predetermined elastic value range, the processing unit determines that the finger is a fake finger. Wherein, when the elasticity value does not meet the preset elastic value range, the processing unit determines that the finger is a real finger. The fingerprint capturing unit further has a bump, and the bump is formed on the finger to form the deformation, and the processing unit analyzes the deformation recovery state of the depressed portion generated by the finger after the bump passes to determine the elastic value. The processing unit determines the elasticity value of one of the depressed portions generated by the finger after passing through the bump with respect to the finger without being deformed by the bump. The processing unit is configured to recognize a singular point of the fingerprint image, and expand a region range around the singular point, and the processing unit analyzes the deformation of the fingerprint image in the region to determine the elasticity value. According to the above invention, the fingerprint anti-counterfeiting device and the method thereof can have one or more of the following advantages: (1) The fingerprint anti-counterfeiting device and the method thereof can be slid over the fingerprint capturing module by analyzing the finger The deformation state of the time is used for fingerprint anti-counterfeiting, thereby improving the correctness of fingerprint anti-counterfeiting. 099134819 Form No. 1010101 Page 5 of 21 0992060785-0 201216172 (2) The fingerprint anti-counterfeiting device and the method thereof can be referred to by analyzing the deformation from the singular point of the fingerprint image to the periphery and the deformation within the region. 'Wen anti-counterfeiting, which can effectively improve the efficiency of fingerprint identification and anti-counterfeiting. [Embodiment] [0019] Referring to Figure 1, it is a block diagram of a fingerprint anti-counterfeiting device of the present invention. As shown in the figure t, the fingerprint anti-counterfeiting device of the present invention includes a fingerprint capture device 10 and a processing unit u. The fingerprint #| taking unit 1() continuously captures one fingerprint 2 of one finger 2 and provides a plurality of fingerprint images 200, 201, 202 according to the fingerprint 2〇. Processing unit! ! Then, according to the deformation state of the two adjacent fingerprint images 2〇〇, 2〇ι, 202, an elastic value 3 is determined. When the elastic value 3 meets a predetermined elastic value range 4, the processing unit u determines the finger 2 For a fake finger. In addition, when the elasticity value 3 does not conform to the preset elastic value range 4, the processing unit π determines that the finger 2 is a real finger. Please refer to FIG. 2A, which is a schematic diagram of a first embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown in the figure, the unit 1 is a long strip of sensors, and the finger 2 of the user to be authenticated slides over the fingerprint capture unit in a sliding manner. The fingerprint capture unit 1 is further provided with a bump 100 for making a deformation on the finger 2, so that the processing unit can more easily analyze the deformation state of the finger 2. Since the figure is only a schematic view, a depressed portion 21 generated when the finger 2 passes through the bump 1 is represented by a blank on the drawing, and the fingerprint of the depressed portion 21 is further indicated by a broken line. The type of deformation gradually recovering. When the user presses the hand 2 on the crystal grain boring unit 1 并 and starts to slide, the processing unit then analyzes the deformation recovery state of the depressed portion 2 generated by the finger 2 after the bump is passed to determine the elastic value 3; It is also possible to analyze the finger 2 through the bump 099134819 Form No. A0101 Page 6 / Total 21 Page 0992060785-0 201216172 1 One of the portions of the depressed portion 21 that are not past the bump 100 with respect to the finger 2, both of which are The deformation state between the two determines the elasticity value 3. [0020] Referring to FIG. 2, it is an actual pattern in which the true and false fingerprints of the first embodiment of the fingerprint anti-counterfeiting device of the present invention are different in deformation. As shown on the left side of this figure, it is a fake finger fingerprint image 2 0 3, because the elastic value of the fake finger is compared.
QO Ο Ο [0021] 早―’因此其形變的回復（凹陷部21的回復狀況）也很 均勻；相對的’本圖右方的真手指指紋圖像204則因為真 實手指的彈性值處處不同，因此可以發現真手指指紋圖 像2〇4在經過凸點後的回復狀態也是不均勻的。因此，本 發明即可根據此種形變模式及形變量的不同，來判斷由 指紋擷取單元所擷取的指紋圖像，是否是由真實手指所 擷取到的。另外，在指紋註冊時，除了特徵資訊的儲存 外’也同時儲存了防假手指的資訊，讓防假手指的資訊 (即各種有可能的假手指材料的彈性值），這些資訊即 構成了預設的範圍。由於假手指jgummy finger)的材 料特性較為單一，因此其形變量的變化將會落入一個特 定的範圍内；相反的’真實手指的形變則因人而異，其 形變量的變化則無法以特定的範圍加以界定。 請參閱第3圖，其係為本發明之指紋防偽裝置之第二實施 例示意圖。如圖所示’本實施例與第一實施例最大的不 同’即在於指紋擷取單元10並未設置有凸點，因此，本 實施例即根據分析指紋圖像上的形變量的變化，給定按 壓在指紋擷取單元10上的手指2不同的彈性值，且每兩張 (或以上）的指紋圖像便計算一次彈性值。當處理單元 發現任二（或以上）相鄰（或連續）的指紋圖像所對應 099134819 表單編號A0101 第7頁/共21頁 0992060785-0 201216172 的弹性值落入一個特定的範圍内（即第1圖之預設彈性值 範圍4 ’或如前一實施例所預先輸入的假手指的資訊）時 ，^里單元便料按Μ在指紋擷取單元1Q上的手指2為一 手^ ’相反的當處理單元發現賴值未落人一個特 疋的範圍内（即第1圖之預設彈性值範圍4)時，處理單 兀便判定按Μ在指紋操取單測上的手指2為—真實手指 1此時’處理單元在判定㈣在指紋操取單元1()上的手 指2為真實手指後，也可進一步地利用其他機制確認是否 為真實手指’例如以溫度或導電性等。 [0022] [0023] 另外，本發明所採用的防假手指方法，係將手指紋路的 二度空間幾何物理訊息（即形變）轉換成可以計量及計 舁的電壓訊息。例如，在指紋註冊時，除了特徵資訊的 儲存外，摘_存了防假手指的資訊，該防假手指的 資訊係、透過„十算在一固定面積内所採樣的指紋圖像的 形變量（代表了指紋的垂直空間資訊），而「―固定面 積J的選取方式也是本發明的—大特徵，由於在各方向 及區域内的指紋線密度不同，因此如果不選定—特定區 域及一固定面積，麟得刺結果會有很大的差異。 。月參閱第4圖’其係為本發明之指紋防偽裝置之第三實施 例示意圖。如圖所示，本實施例與前兩個實施例的最大 不同，即在於處理單元先於辨識出指紋圖像2〇〇所具有之 -可異點5後，以奇異點5為中心向四周展開一區域範圍6 (即-特定區域）’處理單元再分析指紋圖像2GG於區域 範圍6内之形變而決定彈性值3。其中，該範圍之外形係 可為圓形、橢圓形或多邊形，在本實施例中則為正方形 099134819 表單編號A0101 第8頁/共21頁 0992060785-0 201216172 。由於指紋擷取單元1 0係以連續擷取的方式擷取指紋2〇 並提供指紋圖像200，故只要處理單元未發現指紋圖像 2 0 0中具有奇異點5 ’則不進行計算彈性值進而進行判斷 手指2的真偽；唯有當處理單元發現指紋圖像2〇〇中包含 了奇異點5之後’才根據奇異點5展開區域範圍6 ’並在區 域範圍6之内進行計算彈性值，進而進行判斷手指2的真 偽’因此本實施例可有效且大幅提昇指紋防偽的效率並 節省系統的資源。 ◎ [0024]至於奇異點的選取，則簡述如下：於得到一原始的指紋 圖像後’先經過指.紋圖像之正規化（n〇rmalizati〇n) ，將指紋圖像值重新分配為介:於丨〇~255\在本實施例為8 bits的灰階分佈，由正規化之指放輿:經過putty (為利 用3x3九宮格計算圖像之一平均值）處理後，最後根據該 putty後之正規指紋圖像，利用3x3九宮格計算出該九宮 格之平均梯度值，而得到平均角度值，再由向量角度圖 之差異化（相鄰角度差大於一預設角度時）來計算出奇 Q 異點（singular p〇int)。 [0025]儘管則述在說明本發明之指紋防偽裝置的過程中，亦已 同時說明本發明之指紋防偽方法的概念，但為求清楚起 見，以下仍另緣示流程圖詳細說明。 [0026] 099134819 請參閱第5圖，其係為本發明之指紋防偽方法之流程圖。 本發明之指紋防偽方法係勒於_指紋防偽裝置，該指 紋防偽裝置包含—指紋擷取單元及一處理單元。如圖所 示，指紋防偽方法包含下列步驟： (S10)以指紋梅取單元連續地操取一手指之一指紋並根 表單編號A 101 第9頁/共21頁 0992060785-0 201216172 據指紋提供複數個指紋圖像； (S2 〇) d王里| iu艮l旨I文圖n# ^才目# #的开> € & 態而決定一彈性值，並判斷彈性值是否符合一預設彈性 值範圍； (S30)當彈性值符合預設彈性值範圍時，處理單元即判 斷手指為一偽造手指；以及 (S40)當彈性值不符合預設彈性值範圍時，處理單元即 判斷手指為一真實手指。 [0027] 請參閱第6圖，其係為本發明之指紋防偽方法之另一流程 圖。在一些較佳的實施例中，於上述的步驟（S10)之後 更可包含了下列步驟： (S11)以處理單元辨識出指紋圖像所具有之一奇異點後 ，以奇異點為中心向四周展開一區域範圍；以及 (S1 2 )以處理單元根據區域範圍内的指紋圖像之任二相 鄰者，於該區域範圍内的形變狀態而決定一彈性值，並 判斷彈性值是否符合一預設彈性值範圍。 接著在步驟（S12)後執行步驟（S30)或（S40)。 [0028] 本發明之指紋防偽方法之細節已於前述說明本發明之指 紋防偽裝置時詳細說明，在此便不再贅述。 [0029] 綜上所述，本發明之指紋防偽裝置及其方法可藉由分析 手指在滑過指紋擷取模組時的形變狀態來進行指紋防偽 ，有效提高指紋防偽之正確性；而本發明更可藉由分析 從指紋圖像之奇異點為中心向四周展開一區域範圍内之 形變來進行指紋防偽，而大幅提升指紋辨識及防偽的效 率。 099134819 表單編號Α0101 第10頁/共21頁 0992060785-0 201216172 [0030] 以上所述僅為舉例性，而非為限制性者。任何未脫離本 發明之精神與範疇，而對其進行之等效修改或變更，均 應包含於後附之申請專利範圍中。 【圖式簡單說明】 [0031] 第1圖係為本發明之指紋防偽裝置之方塊圖； 第2A圖係為本發明之指紋防偽裝置之第一實施例示意圖 j 第2B圖係為本發明之指紋防偽裝置之第一實施例之真假 指紋形變不同的實際圖樣； 〇 第3圖係為本發明之指紋防偽裝置之第二實施例示意圖； 第4圖係為本發明之指紋防偽裝置之第三實施例示意圖； 第5圖係為本發明之指紋防偽方法之流程圖；以及 第6圖係為本發明之指紋防偽方法之另一流程圖。 【主要元件符號說明】 [0032] 1 :指紋防偽裝置； 10 :指紋擷取單元； 10 0 .凸點， 11 :處理單元； 2 :手指； 2 0 :指紋； 200、201、202 :指纹圖像； 203 :假手指指紋圖像； 204 :真手指指紋圖像； 21 :凹陷部； 3:彈性值； 099134819 表單編號A0101 第11頁/共21頁 0992060785-0 201216172 4:預設彈性值範圍； 5:奇異點； 6:範圍；以及 S10〜S40 :步驟0 099134819 表單編號A0101 第12頁/共21頁 0992060785-0QO Ο Ο [0021] Early-'so the recovery of its deformation (return condition of the depressed portion 21) is also very uniform; the opposite true fingerprint image 204 on the right side of the figure is different because the elasticity value of the real finger is different. Therefore, it can be found that the recovery state of the true finger fingerprint image 2〇4 after passing the bump is also uneven. Therefore, according to the deformation mode and the shape variable, the present invention can determine whether the fingerprint image captured by the fingerprint capture unit is captured by a real finger. In addition, when the fingerprint is registered, in addition to the storage of the feature information, the information of the anti-fake finger is also stored, and the information of the anti-fake finger (ie, the elastic value of various possible fake finger materials) is formed. The scope of the setting. Since the material properties of the jig dummy finger are relatively simple, the change of the shape variable will fall within a certain range; the opposite 'the deformation of the real finger varies from person to person, and the change of the shape variable cannot be specific. The scope is defined. Please refer to FIG. 3, which is a schematic diagram of a second embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown in the figure, the difference between the present embodiment and the first embodiment is that the fingerprint capturing unit 10 is not provided with a bump. Therefore, in this embodiment, according to the change of the shape variable on the fingerprint image, The finger 2 of the fingerprint capturing unit 10 is pressed to have different elasticity values, and each of the two (or more) fingerprint images calculates an elasticity value. When the processing unit finds that any two (or more) adjacent (or consecutive) fingerprint images correspond to the 099134819 form number A0101, page 7 / total 21 page 0992060785-0 201216172, the elasticity value falls within a specific range (ie, When the preset elastic value range of the figure is 4' or the information of the fake finger input in advance in the previous embodiment, the unit 2 is pressed by the finger 2 on the fingerprint capturing unit 1Q as a hand ^' When the processing unit finds that the Lai value is not within a special range (ie, the preset elastic value range of FIG. 1 is 4), the processing unit determines that the finger 2 on the fingerprint operation single measurement is true. Finger 1 At this time, after the processing unit determines that the finger 2 on the fingerprint operation unit 1 () is a real finger, other mechanisms may be further used to confirm whether it is a real finger, for example, by temperature or conductivity. [0023] In addition, the anti-fake finger method adopted by the present invention converts the second-space geometric physical information (ie, deformation) of the fingerprint path into a voltage information that can be measured and counted. For example, in the fingerprint registration, in addition to the storage of the feature information, the information of the anti-false finger is stored, and the information of the anti-fake finger is transmitted through the shape variable of the fingerprint image sampled in a fixed area. (representing the vertical spatial information of the fingerprint), and "the selection of the fixed area J is also a large feature of the present invention. Since the density of the fingerprint lines in different directions and regions is different, if not selected - the specific area and a fixed The area, the result of the thorns will be very different. The month refers to Figure 4, which is a schematic diagram of the third embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown, the present embodiment and the first two embodiments The biggest difference is that the processing unit first expands a region range 6 (ie, a specific region) to the periphery of the singular point 5 before recognizing the fingerprint image 2 --distinct 5 Re-analyze the deformation of the fingerprint image 2GG in the region range 6 to determine the elasticity value 3. The shape outside the range may be a circle, an ellipse or a polygon, in the present embodiment, a square 099134819 table. No. A0101 Page 8 of 21 0992060785-0 201216172. Since the fingerprint capture unit 10 captures the fingerprint 2 in a continuous capture manner and provides the fingerprint image 200, the processing unit does not find the fingerprint image 2 0 0 has a singular point 5 ', then does not calculate the elasticity value and then judges the authenticity of the finger 2; only when the processing unit finds that the fingerprint image 2〇〇 contains the singular point 5, 'the area is expanded according to the singular point 5 The range 6' is calculated within the area range 6 to calculate the authenticity of the finger 2, so that the embodiment can effectively and greatly improve the efficiency of fingerprint anti-counterfeiting and save system resources. ◎ [0024] As for the singularity The selection is as follows: after obtaining an original fingerprint image, 'the normalization of the fingerprint image (n〇rmalizati〇n) is first, and the fingerprint image value is reassigned as: 丨〇~ 255\ in this embodiment is a gray-scale distribution of 8 bits, which is normalized by the finger: after putty (for the average value of one of the images calculated using 3x3 nine-square grid), and finally the regular fingerprint image according to the putty , using 3x3 nine The grid calculates the average gradient value of the nine squares, and obtains the average angle value, and then calculates the odd singular p〇int by the differentiation of the vector angle map (the adjacent angle difference is greater than a preset angle). [0025] Although the concept of the fingerprint anti-counterfeiting method of the present invention has been described in the process of explaining the fingerprint anti-counterfeiting device of the present invention, for the sake of clarity, the following is still a detailed flowchart. 099134819 Please refer to FIG. 5, which is a flow chart of the fingerprint anti-counterfeiting method of the present invention. The fingerprint anti-counterfeiting method of the present invention is directed to a fingerprint anti-counterfeiting device, and the fingerprint anti-counterfeiting device comprises a fingerprint capturing unit and a processing unit. As shown in the figure, the fingerprint anti-counterfeiting method comprises the following steps: (S10) continuously taking one of the fingerprints of one finger with the fingerprint taking unit and rooting the form number A 101 Page 9 of 21 page 0992060785-0 201216172 Providing plural according to the fingerprint Fingerprint image; (S2 〇) d Wang Li | iu艮l purpose I text map n# ^才目# #的开> € & state determines an elastic value and determines whether the elasticity value meets a preset (S30) when the elastic value conforms to the preset elastic value range, the processing unit determines that the finger is a fake finger; and (S40) when the elastic value does not meet the preset elastic value range, the processing unit determines that the finger is A real finger. [0027] Please refer to FIG. 6, which is another flow chart of the fingerprint anti-counterfeiting method of the present invention. In some preferred embodiments, after the step (S10) described above, the following steps may be further included: (S11) after the processing unit recognizes one of the singular points of the fingerprint image, the singular point is centered around Expanding an area range; and (S1 2) determining, by the processing unit, an elastic value according to a deformation state of the two adjacent ones of the fingerprint images in the area, and determining whether the elasticity value meets a pre-determination Set the range of elasticity values. Next, step (S30) or (S40) is performed after the step (S12). The details of the fingerprint anti-counterfeiting method of the present invention have been described in detail in the foregoing description of the fingerprint anti-counterfeiting device of the present invention, and will not be described herein. [0029] In summary, the fingerprint anti-counterfeiting device and the method thereof can perform fingerprint anti-counterfeiting by analyzing the deformation state of the finger when sliding over the fingerprint capturing module, thereby effectively improving the correctness of the fingerprint anti-counterfeiting; It is also possible to carry out fingerprint anti-counterfeiting by analyzing the deformation from the singular point of the fingerprint image to the periphery, and greatly improve the efficiency of fingerprint recognition and anti-counterfeiting. 099134819 Form No. Α0101 Page 10 of 21 0992060785-0 201216172 [0030] The foregoing is merely illustrative and not restrictive. Any equivalent modifications or alterations to the spirit and scope of the invention are intended to be included in the scope of the appended claims. BRIEF DESCRIPTION OF THE DRAWINGS [0031] FIG. 1 is a block diagram of a fingerprint anti-counterfeiting device of the present invention; FIG. 2A is a schematic view of a first embodiment of a fingerprint anti-counterfeiting device of the present invention, and FIG. 2B is a view of the present invention The first embodiment of the fingerprint anti-counterfeiting device has a different actual pattern of true and false fingerprint deformation; FIG. 3 is a schematic view of the second embodiment of the fingerprint anti-counterfeiting device of the present invention; FIG. 4 is the first embodiment of the fingerprint anti-counterfeiting device of the present invention. 3 is a flow chart of a fingerprint anti-counterfeiting method of the present invention; and FIG. 6 is another flow chart of the fingerprint anti-counterfeiting method of the present invention. [Description of main component symbols] [0032] 1 : Fingerprint anti-counterfeiting device; 10: Fingerprint capture unit; 10 0. Bump, 11: Processing unit; 2: Finger; 2 0: Fingerprint; 200, 201, 202: Fingerprint Image; 203: fake finger fingerprint image; 204: true finger fingerprint image; 21: depressed portion; 3: elastic value; 099134819 form number A0101 page 11/total 21 page 0992060785-0 201216172 4: preset elastic value range 5: singular point; 6: range; and S10~S40: step 0 099134819 form number A0101 page 12/total 21 page 0992060785-0