WO2020019186A1 - Machine de présence à empreintes digitales permettant de reconnaître rapidement des informations d'empreintes digitales - Google Patents

Machine de présence à empreintes digitales permettant de reconnaître rapidement des informations d'empreintes digitales Download PDF

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Publication number
WO2020019186A1
WO2020019186A1 PCT/CN2018/096997 CN2018096997W WO2020019186A1 WO 2020019186 A1 WO2020019186 A1 WO 2020019186A1 CN 2018096997 W CN2018096997 W CN 2018096997W WO 2020019186 A1 WO2020019186 A1 WO 2020019186A1
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WO
WIPO (PCT)
Prior art keywords
gesture
fingerprint
module
infrared
receiving tube
Prior art date
Application number
PCT/CN2018/096997
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English (en)
Chinese (zh)
Inventor
陈钦鹏
Original Assignee
齐心商用设备(深圳)有限公司
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.)
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Publication date
Application filed by 齐心商用设备(深圳)有限公司 filed Critical 齐心商用设备(深圳)有限公司
Priority to PCT/CN2018/096997 priority Critical patent/WO2020019186A1/fr
Publication of WO2020019186A1 publication Critical patent/WO2020019186A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition

Definitions

  • the invention relates to a fingerprint attendance machine which can quickly identify fingerprint information.
  • the texture of the skin on the palms and the inner surfaces of the fingers, feet, and toes of the user will form a variety of patterns.
  • the patterns of these skins, including fingerprints, are different in patterns, breakpoints, and intersections. That is, it is unique. Relying on this uniqueness, a person is associated with his fingerprint, and his true identity can be verified by comparing his fingerprint with a fingerprint that is stored in advance.
  • biometrics This technology that relies on the physical characteristics of the human body for identity verification is called biometrics
  • fingerprint recognition is a type of biometrics. From a practical point of view, fingerprint recognition technology is an identification method superior to other biometric technologies. This is because the characteristics of different fingerprints, which are basically unchanged throughout life, have been recognized.
  • the fingerprint time attendance machine collects, analyzes and compares the living fingerprint through special photoelectric conversion equipment and computer image processing technology, which can quickly and accurately identify the personal identity.
  • Fingerprint time attendance machines generally include fingerprint image acquisition, fingerprint image processing, feature extraction, feature value comparison and matching.
  • fingerprint films optical fingerprint films and capacitive fingerprint films
  • the fingerprint film is specially made of skin-color-like silicone, with a texture close to the human dermis. All can achieve 99.9% successful time and attendance at one time, thus making the fingerprint time and attendance machine easy to be signed on behalf of.
  • a fingerprint time and attendance machine for quickly identifying fingerprint information
  • the circuit recognition module includes a gesture detection module, a switch module and a fingerprint module.
  • the switch module is connected between the gesture detection module and the fingerprint module.
  • the output of the gesture detection module is connected to the display screen.
  • the fingerprint module is located in the gesture recognition area. ;
  • a gesture detection module is used for gesture detection
  • a switch module which is used to connect the gesture detection module and the fingerprint module, and control the on / off of the circuit according to the detection result of the gesture detection module;
  • the fingerprint module is connected to the output terminal of the switch module, and is used to store the fingerprint information previously entered by the user and compare the fingerprint information re-entered by the user with the previously stored fingerprint information;
  • the fingerprint time attendance adopts the following identification process:
  • Process 1 Put the fingerprint module into sleep state in advance
  • Process 2 When the gesture detection module detects a specific gesture, connect the switch module to wake up the fingerprint module to start work;
  • Process 3 The fingerprint module compares the fingerprint information entered by the user with the fingerprint information stored in advance and outputs the result.
  • the gesture detection module includes a non-contact infrared control device;
  • the non-contact infrared control device is implemented by an infrared transmitting tube, an infrared receiving tube, and a processor, and specifically includes: a first infrared transmission for transmitting infrared rays Tube, second infrared transmitting tube, third infrared transmitting tube and fourth infrared transmitting tube, a first infrared receiving tube and a second infrared receiving tube for receiving infrared rays reflected by an obstacle and determining the signal intensity of the reflected infrared rays Tube, third infrared receiving tube and fourth infrared receiving tube; said first infrared transmitting tube, second infrared transmitting tube, third infrared transmitting tube and fourth infrared transmitting tube with first infrared receiving tube and second infrared receiving tube The first infrared transmitting tube, the third infrared receiving tube, and the fourth infrared
  • the first infrared transmitting tube, the second infrared transmitting tube, the third infrared transmitting tube, and the fourth infrared transmitting tube have different emission angles.
  • the receiving angles of an infrared receiving tube, a second infrared receiving tube, a third infrared receiving tube, and a fourth infrared receiving tube are different;
  • a memory is used to store A gesture set is provided;
  • a processor is configured to recognize a gesture action and obtain a judgment result according to the signal strengths received by the first infrared receiving tube, the second infrared receiving tube, the third infrared receiving tube, and the fourth infrared receiving tube.
  • the processor process is as follows:
  • the user makes a specific gesture in the gesture recognition area.
  • the first infrared receiving tube, the second infrared receiving tube, the third infrared receiving tube, and the fourth infrared receiving tube respectively send the received signals to the processor.
  • the gesture action is recognized and compared with a preset gesture. If they are the same, it is considered that a specific gesture is detected, and the switch module is turned on.
  • the gesture detection module further includes a contact detection module, which is located in the gesture recognition area and is close to the fingerprint module. .
  • a contact detection module which is located in the gesture recognition area and is close to the fingerprint module.
  • the technical solution can realize infrared gesture detection simply, efficiently and effectively through an infrared receiving tube and an infrared transmitting tube, and the cost is low. Since four pairs of infrared tubes are set in this solution, and the angle of each pair of infrared tubes is different, it has the advantage of fast recognition speed.
  • the gesture detection module is implemented by using an infrared camera, and the infrared camera is generally disposed on the upper side of the recess of the C-shaped casing to form a gesture recognition area.
  • the infrared camera captures a gesture image, recognizes the gesture, and compares the recognized gesture with a preset gesture. If the comparison is successful, it is considered that a specific gesture is detected.
  • the recognition of gestures specifically includes: firstly determining the gesture area of the camera's shooting area in advance; the camera segments the captured gesture image, and extracts the gesture area for detection Image, and then perform a recognition operation on the detected image through a preset recognition algorithm.
  • the C-type structure is set and the shooting area is fixed to simplify the algorithm, only the gesture area needs to be detected, which greatly simplifies the recognition difficulty and speeds up the recognition speed.
  • the present invention Compared with the prior art, the present invention has the following advantages: Through the above solution, the present invention starts fingerprint recognition if and only when a specific gesture is recognized, and the user who signs on behalf cannot use the finger film and gesture operation at the same time. Sign-on phenomenon; at the same time, the recognition algorithm is optimized to further accelerate the recognition speed and give users a good experience.
  • FIG. 1 is a schematic diagram of a fingerprint time and attendance machine according to Embodiment 1 of the present invention.
  • FIG. 2 is a schematic diagram of a fingerprint time and attendance machine according to Embodiment 2 of the present invention.
  • FIG. 3 is a first schematic view of a contact detection module in Embodiment 2 of the present invention.
  • FIG. 4 is a second schematic diagram of a contact detection module in Embodiment 2 of the present invention.
  • the present invention provides a fingerprint time and attendance machine for quickly identifying fingerprint information. See FIG. 1, which includes a C-type casing 100 and a circuit module inside the C-type casing 100.
  • the upper part of the C-type casing 100 is provided with
  • the display screen 101 and the recess of the C-shaped casing 100 form a gesture recognition area.
  • the circuit module includes a gesture detection module, a switch module, and a fingerprint module 102.
  • the switch module is connected between the gesture detection module and the fingerprint module 102.
  • the output is connected to the display 101.
  • a gesture detection module is used for gesture detection
  • a switch module which is used to connect the gesture detection module and the fingerprint module, and control the on / off of the circuit according to the detection result of the gesture detection module;
  • the fingerprint module is connected to the output terminal of the switch module, and is used to store the fingerprint information previously entered by the user and compare the fingerprint information re-entered by the user with the previously stored fingerprint information;
  • the fingerprint time attendance adopts the following identification process:
  • Process 1 Put the fingerprint module into sleep state in advance
  • Process 2 When the gesture detection module detects a specific gesture, connect the switch module to wake up the fingerprint module to start work;
  • Process 3 The fingerprint module compares the fingerprint information entered by the user with the fingerprint information stored in advance and outputs the result.
  • the gesture detection module includes a non-contact infrared control device and a contact detection module 103 (which can be implemented simply by using a pressure sensor).
  • the contact detection module is located in the gesture recognition area and is close to the fingerprint module. When a user performs fingerprint recognition, at least one finger contacts the contact detection module, and the other finger is used for fingerprint recognition.
  • the non-contact infrared control device is realized by an infrared transmitting tube 104, an infrared receiving tube 105, and a processor, and specifically includes: a first infrared transmitting tube, a second infrared transmitting tube, a third infrared transmitting tube, and a fourth infrared transmitting infrared tube.
  • a transmitting tube, a first infrared receiving tube, a second infrared receiving tube, a third infrared receiving tube, and a fourth infrared receiving tube for receiving infrared rays reflected by an obstacle and determining a signal intensity of the reflected infrared rays;
  • An infrared transmitting tube, a second infrared transmitting tube, a third infrared transmitting tube and a fourth infrared transmitting tube corresponding to the first infrared receiving tube, the second infrared receiving tube, the third infrared receiving tube and the fourth infrared receiving tube, Meanwhile, the emission angles of the first infrared transmitting tube, the second infrared transmitting tube, the third infrared transmitting tube, and the fourth infrared transmitting tube are different.
  • the first infrared receiving tube, the second infrared receiving tube, the third infrared receiving tube, and The receiving angle of the fourth infrared receiving tube is different;
  • the memory is used to store a preset gesture set;
  • the processor is used to Tube, a third and a fourth infrared receiver infrared receiver the received signal strength and identifying gestures obtained determination result.
  • the processor process is as follows:
  • the user makes a specific gesture in the gesture recognition area.
  • the first infrared receiving tube, the second infrared receiving tube, the third infrared receiving tube, and the fourth infrared receiving tube respectively send the received signals to the processor.
  • the gesture action is recognized and compared with a preset gesture. If they are the same, it is considered that a specific gesture is detected, and the switch module is turned on.
  • the processor randomly reads a gesture in the gesture set in the memory and displays it through the display screen 101.
  • the user does the same in the gesture recognition area according to the gesture.
  • the processor recognizes the gesture based on the intensity of the sample, and compares it with the gesture read randomly and displayed on the display 101. If they are the same, it is considered that a specific gesture is detected, and the switch module is guided. through.
  • the gesture is recognized by the non-contact infrared control device to activate the fingerprint module.
  • fingerprint recognition the user's finger contacts the contact detection module and the fingerprint module at the same time to realize fingerprint recognition, so that the user cannot use the finger film and gesture operation at the same time, so further signing can be avoided.
  • the technical solution can realize infrared gesture detection simply, efficiently and effectively through an infrared receiving tube and an infrared transmitting tube, and the cost is low. Because four pairs of infrared tubes are set in this solution, and the angle of each pair of infrared tubes is different, it has the advantage of fast recognition speed.
  • the non-contact infrared control device is implemented by using an infrared camera 106.
  • the infrared camera is generally disposed on the upper side of the recess of the C-shaped casing 100 to form gesture recognition. Area.
  • the infrared camera captures a gesture image, recognizes the gesture, and compares the recognized gesture with a preset gesture. If the comparison is successful, it is considered that a specific gesture is detected.
  • the recognition of gestures specifically includes: firstly determining the gesture area of the camera's shooting area in advance; the camera segments the captured gesture image, and extracts the gesture area for detection Image, and then perform a recognition operation on the detected image through a preset recognition algorithm.
  • the contact area of the contact detection module can be a large area 110 (see FIG. 3) touched by the entire palm, or a small area 111 (see FIG. 4) touched by fingers, which can be implemented by a simple pressing sensor.
  • the fingerprint module includes a storage module and a comparison module.
  • the storage module is used to store fingerprint information previously entered by the user.
  • the comparison module compares the fingerprint input by the user with the fingerprint of the corresponding storage module and outputs a comparison result.
  • the method of the present invention is not limited to being performed in the chronological order described in the specification, but may also be performed in other chronological order, in parallel, or independently. Therefore, the execution order of the methods described in this specification does not limit the technical scope of the present invention.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Image Input (AREA)

Abstract

L'invention concerne une machine de présence à empreintes digitales permettant de reconnaître rapidement des informations d'empreintes digitales. La machine de présence à empreintes digitales comprend : une coque en forme de C et un module de circuit à l'intérieur de la coque en forme de C. Un écran d'affichage est disposé sur la partie supérieure de la coque en forme de C ; une zone de reconnaissance de geste est formée dans un évidement de la coque en forme de C ; le module de circuit comprend un module de détection de geste, un module de commutation et un module d'empreintes digitales ; le module de commutation est connecté entre le module de détection de geste et le module d'empreintes digitales ; et le module de détection de geste comprend un dispositif de commande infrarouge sans contact et un module de détection de type contact. Selon la solution, la présente invention lance une reconnaissance d'empreintes digitales si et seulement si un geste spécifique est reconnu, par conséquent un utilisateur qui veut pointer au nom d'un autre utilisateur ne peut pas utiliser de film d'empreintes digitales ni effectuer une opération gestuelle en même temps, ce qui résout le phénomène de pointage de substitution. De plus, la présente invention optimise en outre un algorithme de reconnaissance servant à améliorer davantage la vitesse de reconnaissance et à fournir une bonne expérience d'utilisateurs.
PCT/CN2018/096997 2018-07-25 2018-07-25 Machine de présence à empreintes digitales permettant de reconnaître rapidement des informations d'empreintes digitales WO2020019186A1 (fr)

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PCT/CN2018/096997 WO2020019186A1 (fr) 2018-07-25 2018-07-25 Machine de présence à empreintes digitales permettant de reconnaître rapidement des informations d'empreintes digitales

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PCT/CN2018/096997 WO2020019186A1 (fr) 2018-07-25 2018-07-25 Machine de présence à empreintes digitales permettant de reconnaître rapidement des informations d'empreintes digitales

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080285818A1 (en) * 2007-05-17 2008-11-20 Hardy Warren Fingerprint verification system for computerized course attendance and performance testing
CN102831410A (zh) * 2012-08-31 2012-12-19 成都国腾实业集团有限公司 基于电容效应及脉搏检测的双重防伪型指纹采集装置
CN205028354U (zh) * 2015-09-27 2016-02-10 王博 人力资源管理用打卡机
CN106600946A (zh) * 2015-10-19 2017-04-26 金德奎 一种双向通讯智能开关及其系统
CN207302171U (zh) * 2017-08-21 2018-05-01 大连交通大学 门禁装置和汽车

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080285818A1 (en) * 2007-05-17 2008-11-20 Hardy Warren Fingerprint verification system for computerized course attendance and performance testing
CN102831410A (zh) * 2012-08-31 2012-12-19 成都国腾实业集团有限公司 基于电容效应及脉搏检测的双重防伪型指纹采集装置
CN205028354U (zh) * 2015-09-27 2016-02-10 王博 人力资源管理用打卡机
CN106600946A (zh) * 2015-10-19 2017-04-26 金德奎 一种双向通讯智能开关及其系统
CN207302171U (zh) * 2017-08-21 2018-05-01 大连交通大学 门禁装置和汽车

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