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WO2017028119A1 - Procédé de validation à distance en fonction du visage et guichet automatique bancaire - Google Patents

Procédé de validation à distance en fonction du visage et guichet automatique bancaire Download PDF

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Publication number
WO2017028119A1
WO2017028119A1 PCT/CN2015/087162 CN2015087162W WO2017028119A1 WO 2017028119 A1 WO2017028119 A1 WO 2017028119A1 CN 2015087162 W CN2015087162 W CN 2015087162W WO 2017028119 A1 WO2017028119 A1 WO 2017028119A1
Authority
WO
WIPO (PCT)
Prior art keywords
facial feature
input
user
facial
matching
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/CN2015/087162
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English (en)
Chinese (zh)
Inventor
赵政荣
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to PCT/CN2015/087162 priority Critical patent/WO2017028119A1/fr
Publication of WO2017028119A1 publication Critical patent/WO2017028119A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • 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
    • H04L9/40—Network security protocols
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification

Definitions

  • the invention belongs to the field of security, and particularly relates to a method based on face verification and a cash machine.
  • the password segmentation system is generally adopted, and the password related to the withdrawal fund is divided into two sections, which are in the hands of two different people, so that only two people agree and two When individuals are present, they can make withdrawals.
  • the current withdrawal method is also relatively simple. For example, in the case of 8-bit password system, it is often awkward when the first person enters half of the password and then the second person enters half of the password.
  • the embodiment of the invention provides a method for verifying the face based on the face, the purpose is In view of the troublesome and inflexible situation of the current double password system, a more convenient withdrawal verification method is provided.
  • a method based on face-to-face verification comprising the following steps:
  • the embodiment of the invention further provides a cash machine, comprising:
  • a recording unit configured to record a first facial feature required for unlocking and a second facial feature matching the first facial feature
  • a verification unit coupled to the recording unit, for determining whether the facial feature input by the user is the first facial feature or the second facial feature when the user inputs the facial feature for the first time, and when the facial feature is input for the second time Determining whether the facial feature input by the user for the second time is a facial feature matching the first input facial feature;
  • a prompting unit connected to the verification unit, when the user inputs the facial feature for the first time, and the facial feature is the first facial feature or the second facial feature, prompting another remote user to input the user with the certain time Another facial feature that the input facial features match;
  • the unlocking unit is connected to the verification unit, and is configured to enter a withdrawal program when the facial features input by the user twice are the recorded facial features.
  • the invention enters the withdrawal procedure by verifying the facial features that match each other in different places, and enters the withdrawal procedure when the matching facial features appear at the same time, which increases the convenience for the withdrawal of the same fund account held by the two persons without losing safety. .
  • FIG. 1 is a schematic flow chart of a method for remote verification based on face verification according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a cash dispenser provided by an embodiment of the present invention.
  • Figure 1 is a diagram of an embodiment of the invention. A schematic flowchart of a method based on face-to-face verification, for convenience of explanation, only parts related to the embodiment of the present invention are shown.
  • a first facial feature required for unlocking and a second facial feature matching the first facial feature are recorded in step S101.
  • the first facial feature and the second facial feature respectively belong to different facial features of a person.
  • step S102 When the user inputs the facial feature, it is determined whether the facial feature input by the user is the first facial feature or the second facial feature. If no, the process proceeds to step S103, the judgment is terminated, and the original state is maintained; if yes, the process proceeds to step S104. The other remote user is prompted to enter another facial feature that matches the facial feature input by the user for a certain period of time.
  • the face recognition is applied rapidly, and the face recognition technology is now mature, and its application will become increasingly popular.
  • Face recognition especially computer technology that uses analysis and comparison. Face recognition is a popular field of computer technology research, face tracking detection, automatic adjustment of image magnification, nighttime infrared detection, automatic adjustment of exposure intensity; it belongs to biometrics technology, is a specific organism ) its own biological characteristics to distinguish between individual organisms.
  • the face recognition payment system was first established in July 2013 by the Finnish startup Uniqul. Launched the application for the first time in the world and submitted related patent applications.
  • the face recognition payment system developed by the Intelligent Multimedia Technology Research Center of the Chinese Academy of Sciences, users only need to use the relevant equipment to take a photo to achieve online payment, and the relevant experts said that the system is in the United States Carnegie Mellon International Standards Face recognition test library reached The recognition rate is 99.8%, while the best result of other international algorithms is 97.6%.
  • Apple has implemented the technology of 'low threshold facial recognition' on the mobile side.
  • Apple's patent captures images based on the front camera and then analyzes the images. Unlike traditional face recognition technology, Apple does not analyze all the details of the image, but only recognizes areas with large facial information, such as eyes, nose and mouth. This is also the low threshold for Apple's technology. 'Foundation.
  • the matching relationship of the facial features of the user is recorded in a database in the cloud.
  • the facial features input by the remote user are also transmitted to the cloud database for judgment.
  • step S105 Determining whether another facial feature input by another remote user is another facial feature matching the facial feature input by the user, and if not, proceeding to step S106 to terminate the determination and retain the original state, and if yes, proceed to the step S107 enters the withdrawal program.
  • the input order of the first facial feature and the second facial feature may be forced to be correct (such as inputting the facial features of the user A and then inputting the facial features of the user B) to unlock, or may not require specific Enter the order to unlock.
  • the invention enters the withdrawal procedure by verifying the facial features that match each other in different places, and enters the withdrawal procedure when the matching facial features appear at the same time, which increases the convenience for the withdrawal of the same fund account held by the two persons without losing safety. .
  • FIG. 2 is a schematic structural diagram of a cash dispenser according to an embodiment of the present invention, where the cash dispenser includes:
  • a recording unit 21 configured to record a first facial feature required for unlocking and a second facial feature matching the first facial feature
  • connection is used to determine whether the facial feature input by the user is the first facial feature or the second facial feature when the user inputs the facial feature for the first time, and determine the second input face of the user when the facial feature is input for the second time. Whether the feature is a facial feature that matches the facial feature input for the first time;
  • a prompting unit 23 Connecting, when the user inputs the facial feature for the first time, and the facial feature is the first facial feature or the second facial feature, prompting another remote user to input another face matching the facial feature input by the user within a certain time
  • An unlocking unit 24, and the verification unit 22 The connection is used to enter the withdrawal program when the facial features input by the user twice are the recorded facial features.
  • recording unit 21 Recording a first facial feature required for unlocking and a second facial feature matching the first facial feature
  • the verification unit 22 when the user inputs the facial feature for the first time Determining whether the facial feature input by the user is the first facial feature or the second facial feature, and determining whether the facial feature input by the user for the second time matches the facial feature input for the first time when the facial feature is input a second time Facial feature
  • the user prompts the unit when the user inputs the facial feature for the first time and the facial feature is the first facial feature or the second facial feature 23 prompting another remote user to input another facial feature matching the facial feature input by the user within a certain time
  • the unlocking unit 24 Enter the withdrawal program.
  • the invention enters the withdrawal procedure by verifying the facial features that match each other in different places, and enters the withdrawal procedure when the matching facial features appear at the same time, which increases the convenience for the withdrawal of the same fund account held by the two persons without losing safety. .

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Collating Specific Patterns (AREA)

Abstract

Procédé de validation à distance en fonction du visage et guichet automatique bancaire. Le procédé comporte les étapes consistant à: enregistrer un premier trait distinctif facial et un deuxième trait distinctif facial concordant avec le premier trait distinctif facial, qui sont exigés pour le déblocage (S101); lorsqu'un utilisateur introduit un trait distinctif facial, déterminer si le trait distinctif facial introduit par l'utilisateur est le premier trait distinctif facial ou le deuxième trait distinctif facial (S102); si non, mettre fin à la détermination et rester dans un état actuel (S103); si oui, inviter un autre utilisateur distant à introduire un autre trait distinctif facial concordant avec le trait distinctif facial introduit par l'utilisateur dans un temps donné (S104); déterminer si le trait distinctif facial introduit par l'utilisateur distant est celui concordant avec le trait distinctif facial introduit par l'utilisateur (S105); si non, mettre fin à la détermination et rester dans un état actuel (S106); si oui, entamer une procédure de retrait (S107). La présente invention permet la validation à distance de traits distinctifs faciaux concordants et améliore par conséquent la commodité d'un retrait lorsqu'un compte de fonds est détenu par deux personnes, sans compromettre la sécurité.
PCT/CN2015/087162 2015-08-16 2015-08-16 Procédé de validation à distance en fonction du visage et guichet automatique bancaire Ceased WO2017028119A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/087162 WO2017028119A1 (fr) 2015-08-16 2015-08-16 Procédé de validation à distance en fonction du visage et guichet automatique bancaire

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/087162 WO2017028119A1 (fr) 2015-08-16 2015-08-16 Procédé de validation à distance en fonction du visage et guichet automatique bancaire

Publications (1)

Publication Number Publication Date
WO2017028119A1 true WO2017028119A1 (fr) 2017-02-23

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2015/087162 Ceased WO2017028119A1 (fr) 2015-08-16 2015-08-16 Procédé de validation à distance en fonction du visage et guichet automatique bancaire

Country Status (1)

Country Link
WO (1) WO2017028119A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202904752U (zh) * 2012-04-24 2013-04-24 上海理工大学 设有人脸识别功能的自动取款机
CN104253810A (zh) * 2013-06-27 2014-12-31 北京神州泰岳软件股份有限公司 安全登录方法和系统
CN104346161A (zh) * 2013-08-09 2015-02-11 联想(北京)有限公司 一种信息处理的方法及电子设备
CN104753903A (zh) * 2013-12-31 2015-07-01 腾讯科技（深圳）有限公司 一种认证方法、系统,及装置
CN204440570U (zh) * 2015-02-12 2015-07-01 张丽琴 一种采用手指静脉识别与面部静脉识别结合认证的自动取款装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202904752U (zh) * 2012-04-24 2013-04-24 上海理工大学 设有人脸识别功能的自动取款机
CN104253810A (zh) * 2013-06-27 2014-12-31 北京神州泰岳软件股份有限公司 安全登录方法和系统
CN104346161A (zh) * 2013-08-09 2015-02-11 联想(北京)有限公司 一种信息处理的方法及电子设备
CN104753903A (zh) * 2013-12-31 2015-07-01 腾讯科技（深圳）有限公司 一种认证方法、系统,及装置
CN204440570U (zh) * 2015-02-12 2015-07-01 张丽琴 一种采用手指静脉识别与面部静脉识别结合认证的自动取款装置

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