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MX2016003774A - Metodo y aparato para identificacion de huella dactilar. - Google Patents

Metodo y aparato para identificacion de huella dactilar.

Info

Publication number
MX2016003774A
MX2016003774A MX2016003774A MX2016003774A MX2016003774A MX 2016003774 A MX2016003774 A MX 2016003774A MX 2016003774 A MX2016003774 A MX 2016003774A MX 2016003774 A MX2016003774 A MX 2016003774A MX 2016003774 A MX2016003774 A MX 2016003774A
Authority
MX
Mexico
Prior art keywords
fingerprint recognition
threshold value
fingerprint
feature
current application
Prior art date
Application number
MX2016003774A
Other languages
English (en)
Other versions
MX362444B (es
Inventor
Jiang Zhongsheng
Tao Jun
Liu Dan
Original Assignee
Xiaomi Inc
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 Xiaomi Inc filed Critical Xiaomi Inc
Publication of MX2016003774A publication Critical patent/MX2016003774A/es
Publication of MX362444B publication Critical patent/MX362444B/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
    • 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
    • G06V40/13—Sensors therefor
    • G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Collating Specific Patterns (AREA)
  • Telephone Function (AREA)
  • Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)

Abstract

La presente invención se refiere a un método y un aparato para identificación de huella dactilar. El método para identificación de huella dactilar incluye: adquirir una imagen de huella dactilar y extraer información de característica de la imagen de huella dactilar; obtener información de condiciones de aplicación actual y obtener un umbral de característica que corresponde a un nivel de seguridad de identificación de huella dactilar con base en la información de condiciones de aplicación actual; y comparar la información de característica con información de característica de verificación almacenada de antemano, determinar que la identificación de huella dactilar tiene éxito si el resultado de la comparación alcanza el umbral de característica, y determinar que la identificación de huella dactilar falla si el resultado de la comparación no alcanza el umbral de característica. De acuerdo con las modalidades de la presente descripción, la información de condiciones de aplicación actual se adquiere y el umbral de característica correspondiente al nivel de seguridad de identificación de huella dactilar se obtiene basándose en la misma, se lleva a cabo entonces la identificación de huella dactilar de acuerdo con la información de característica extraída y el umbral de característica correspondiente, por lo tanto un proceso de identificación de huella dactilar puede ser finalizado con base en el umbral de característica correspondiente al nivel de seguridad de identificación de huella dactilar, mejorando así la tasa de éxito de identificación de huella dactilar. (Figura 1).
MX2016003774A 2015-08-21 2015-12-25 Metodo y aparato para identificacion de huella dactilar. MX362444B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510520041.8A CN106709399B (zh) 2015-08-21 2015-08-21 指纹识别方法及装置
PCT/CN2015/098857 WO2017031888A1 (zh) 2015-08-21 2015-12-25 指纹识别方法及装置

Publications (2)

Publication Number Publication Date
MX2016003774A true MX2016003774A (es) 2017-04-27
MX362444B MX362444B (es) 2019-01-18

Family

ID=56684459

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016003774A MX362444B (es) 2015-08-21 2015-12-25 Metodo y aparato para identificacion de huella dactilar.

Country Status (8)

Country Link
US (1) US20170053149A1 (es)
EP (1) EP3133528B1 (es)
JP (1) JP2017537414A (es)
KR (1) KR101772829B1 (es)
CN (1) CN106709399B (es)
MX (1) MX362444B (es)
RU (1) RU2643473C2 (es)
WO (1) WO2017031888A1 (es)

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CN110472504A (zh) * 2019-07-11 2019-11-19 华为技术有限公司 一种人脸识别的方法和装置
CN110472520B (zh) * 2019-07-24 2022-07-19 维沃移动通信有限公司 一种身份识别方法及移动终端
CN113760477B (zh) * 2020-06-05 2024-11-05 北京小米移动软件有限公司 一种调整进程管理参数的方法、装置及存储介质
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CN113052145A (zh) * 2021-04-30 2021-06-29 中国银行股份有限公司 一种人脸识别结果的差异化判断方法和装置
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Also Published As

Publication number Publication date
RU2643473C2 (ru) 2018-02-01
RU2016122619A (ru) 2017-12-13
KR101772829B1 (ko) 2017-08-29
EP3133528A1 (en) 2017-02-22
MX362444B (es) 2019-01-18
KR20170033802A (ko) 2017-03-27
US20170053149A1 (en) 2017-02-23
CN106709399B (zh) 2021-02-09
CN106709399A (zh) 2017-05-24
EP3133528B1 (en) 2019-11-13
JP2017537414A (ja) 2017-12-14
WO2017031888A1 (zh) 2017-03-02

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