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WO2017067289A1 - Procédé de reconnaissance d'empreintes digitales, appareil et terminal mobile - Google Patents

Procédé de reconnaissance d'empreintes digitales, appareil et terminal mobile Download PDF

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Publication number
WO2017067289A1
WO2017067289A1 PCT/CN2016/093748 CN2016093748W WO2017067289A1 WO 2017067289 A1 WO2017067289 A1 WO 2017067289A1 CN 2016093748 W CN2016093748 W CN 2016093748W WO 2017067289 A1 WO2017067289 A1 WO 2017067289A1
Authority
WO
WIPO (PCT)
Prior art keywords
image
acquired
fingerprint sensor
pixels
valid
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2016/093748
Other languages
English (en)
Chinese (zh)
Inventor
张强
王立中
周海涛
蒋奎
贺威
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Publication of WO2017067289A1 publication Critical patent/WO2017067289A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials

Definitions

  • Embodiments of the present invention relate to a fingerprint identification technology, and in particular, to a fingerprint identification method and apparatus, and a mobile terminal.
  • the fingerprint Since the fingerprint has lifetime immutability, uniqueness and convenience, it has been widely used for identification, in particular, it is used in a mobile terminal as a password (for example, a power-on password of a mobile terminal and a payment password of Taobao) to ensure User privacy and even property security.
  • a password for example, a power-on password of a mobile terminal and a payment password of Taobao
  • the fingerprint sensor detects the fingerprint of the user, obtains the fingerprint image, and then matches the fingerprint image with the template image. If the matching is successful, the identification is successful. That is: the password is correct; if the match is unsuccessful, the recognition fails, ie the password is incorrect.
  • the fingerprint sensor Since the fingerprint sensor is more sensitive, when the finger has not been stably attached to the fingerprint sensor, or the fingerprint sensor is close to other skin parts of the user or even the mobile terminal is placed in the pocket, the fingerprint sensor may even be a finger or other skin part of the user.
  • the pocket is detected and the image is obtained. Because the above method, the fingerprint sensor triggers the matching action as long as the image is obtained by the fingerprint sensor. Therefore, whether the fingerprint sensor obtains the complete image of the fingerprint or the image of the fingerprint will be the image and the template image.
  • the fingerprint sensor recognizes an incomplete image of the fingerprint
  • the user needs to remove the finger from the fingerprint sensor and then put it down to re-recognize the fingerprint image, which brings inconvenience to the user; when the fingerprint sensor recognizes not the fingerprint
  • the resources of the mobile terminal are wasted. .
  • an embodiment of the present invention provides a fingerprint identification method, including:
  • Whether the acquired image is a valid image is determined according to the number of the pixel points, and if so, the acquired image is compared with the template image.
  • An image acquisition module configured to acquire an image by using a fingerprint sensor
  • the acquired image is a valid image
  • the acquired image is compared with the template image, thereby avoiding the fingerprint recognition failure caused by the fingerprint sensor not being the complete image of the fingerprint, thereby causing inconvenience to the user;
  • the fingerprint sensor acquires a problem that the mobile terminal resource is wasted due to the image of the fingerprint, which in turn can bring convenience to the user and save resources.
  • FIG. 3 is a schematic flowchart of a fingerprint identification method according to Embodiment 3 of the present invention.
  • FIG. 4 is a schematic flow chart of a fingerprint identification method according to Embodiment 4 of the present invention.
  • FIG. 6 is a schematic structural diagram of a fingerprint identification apparatus according to Embodiment 6 of the present invention.
  • FIG. 7 is a schematic structural diagram of a mobile terminal according to a preferred embodiment of the present invention.
  • the number of pixels in the preset area of the image acquired by the fingerprint sensor at each time instant is calculated.
  • the image acquisition module includes:
  • the pixel number calculation unit is configured to calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor at each time.
  • FIG. 1 is a schematic flowchart of a fingerprint identification method according to Embodiment 1 of the present invention.
  • the method may be implemented by a fingerprint identification device, where the device may be implemented by software and/or hardware, and may be integrated into a mobile terminal. As shown in Figure 1, the method includes:
  • Step 302 Calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor in each moment.
  • the image acquisition module 601 may include: an image acquisition unit, configured to acquire an image once every predetermined time period by using the fingerprint sensor;
  • the pixel number calculation module 602 may include: a pixel number calculation unit, configured to calculate each time The number of pixels in the preset area of the image acquired by the fingerprint sensor.
  • the preset area is an entire area of the acquired image or an edge area of the acquired image.

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Image Input (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Collating Specific Patterns (AREA)
  • Telephone Function (AREA)

Abstract

L'invention concerne un procédé de reconnaissance d'empreintes digitales, un appareil et un terminal mobile, ledit procédé consistant à : utiliser un capteur d'empreintes digitales pour obtenir une image ; calculer le nombre de pixels à l'intérieur d'une région prédéfinie de l'image obtenue ; en fonction du nombre de pixels, déterminer si ladite image obtenue est une image valide, et, si c'est le cas, comparer ensuite ladite image obtenue avec une image de modèle.
PCT/CN2016/093748 2015-10-19 2016-08-05 Procédé de reconnaissance d'empreintes digitales, appareil et terminal mobile Ceased WO2017067289A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510681136.8A CN105260722B (zh) 2015-10-19 2015-10-19 一种指纹的识别方法、装置以及移动终端
CN201510681136.8 2015-10-19

Publications (1)

Publication Number Publication Date
WO2017067289A1 true WO2017067289A1 (fr) 2017-04-27

Family

ID=55100403

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/093748 Ceased WO2017067289A1 (fr) 2015-10-19 2016-08-05 Procédé de reconnaissance d'empreintes digitales, appareil et terminal mobile

Country Status (2)

Country Link
CN (1) CN105260722B (fr)
WO (1) WO2017067289A1 (fr)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105260722B (zh) * 2015-10-19 2017-02-15 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端
CN105303175B (zh) * 2015-10-19 2017-10-20 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端
WO2017161557A1 (fr) * 2016-03-25 2017-09-28 Microsoft Technology Licensing, Llc Communication de données d'empreinte digitale
CN106022075B (zh) * 2016-06-17 2017-11-21 广东欧珀移动通信有限公司 一种指纹解锁方法及终端
CN109243010A (zh) * 2018-07-20 2019-01-18 李艳芹 家庭住宅门锁控制平台
CN119399196B (zh) * 2024-12-31 2025-04-01 宝鸡市大地纺织有限公司 智能织布疵点图像识别与自动分类方法及系统

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006099682A1 (fr) * 2005-03-24 2006-09-28 Bio Recognition Systems Pty Ltd Systeme de traitement d'image efficace en matiere de ressources
CN101631023A (zh) * 2009-07-31 2010-01-20 北京飞天诚信科技有限公司 身份认证的方法和系统
CN102054161A (zh) * 2009-11-02 2011-05-11 纬创资通股份有限公司 指纹图像检测方法
US20140093122A1 (en) * 2012-10-02 2014-04-03 Nitzan Rabinowitz Image identifiers and methods and systems of presenting image identifiers
CN105243369A (zh) * 2015-10-19 2016-01-13 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端
CN105260722A (zh) * 2015-10-19 2016-01-20 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端
CN105303175A (zh) * 2015-10-19 2016-02-03 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI423145B (zh) * 2009-10-26 2014-01-11 Wistron Corp 指紋圖像檢測方法
CN104978572B (zh) * 2015-06-30 2018-10-23 魅族科技（中国）有限公司 一种指纹采集方法及终端

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006099682A1 (fr) * 2005-03-24 2006-09-28 Bio Recognition Systems Pty Ltd Systeme de traitement d'image efficace en matiere de ressources
CN101631023A (zh) * 2009-07-31 2010-01-20 北京飞天诚信科技有限公司 身份认证的方法和系统
CN102054161A (zh) * 2009-11-02 2011-05-11 纬创资通股份有限公司 指纹图像检测方法
US20140093122A1 (en) * 2012-10-02 2014-04-03 Nitzan Rabinowitz Image identifiers and methods and systems of presenting image identifiers
CN105243369A (zh) * 2015-10-19 2016-01-13 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端
CN105260722A (zh) * 2015-10-19 2016-01-20 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端
CN105303175A (zh) * 2015-10-19 2016-02-03 广东欧珀移动通信有限公司 一种指纹的识别方法、装置以及移动终端

Also Published As

Publication number Publication date
CN105260722A (zh) 2016-01-20
CN105260722B (zh) 2017-02-15

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