MX361142B - Método y aparato de reconocimiento de huellas dactilares. - Google Patents

Método y aparato de reconocimiento de huellas dactilares.

Info

Publication number
MX361142B
MX361142B MX2016005225A MX2016005225A MX361142B MX 361142 B MX361142 B MX 361142B MX 2016005225 A MX2016005225 A MX 2016005225A MX 2016005225 A MX2016005225 A MX 2016005225A MX 361142 B MX361142 B MX 361142B
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MX
Mexico
Prior art keywords
fingerprint
features
dimensionality
fingerprint features
image
Prior art date
Application number
MX2016005225A
Other languages
English (en)
Other versions
MX2016005225A (es
Inventor
Tao Zhang
Wang Pingze
Zhang Shengkai
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 MX2016005225A publication Critical patent/MX2016005225A/es
Publication of MX361142B publication Critical patent/MX361142B/es

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133Distances to prototypes
    • G06F18/24137Distances to cluster centroïds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/19Recognition using electronic means
    • G06V30/191Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19173Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/19Recognition using electronic means
    • G06V30/192Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references
    • G06V30/194References adjustable by an adaptive method, e.g. learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Human Computer Interaction (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Health & Medical Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Collating Specific Patterns (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)

Abstract

La presente descripción se refiere a un método y un aparato de reconocimiento de las huellas dactilares; el método incluye: realizar la extracción de las características de una primera imagen de la huella dactilar adquirida por un sensor de la huella dactilar y una segunda imagen de la huella dactilar almacenada en una base de datos con una red de codificación de decodificación automática para obtener una primera característica de huella dactilar correspondiente a la primera imagen de la huella dactilar y una segunda característica de la huella dactilar correspondientes a la segunda imagen de la huella dactilar, la primera característica de la huella dactilar y la segunda característica de la huella dactilar que tienen una dimensionalidad igual; realizar la reducción de dimensionalidad en la primera característica de la huella dactilar y la segunda característica de la huella dactilar para obtener, respectivamente una tercera característica de la huella dactilar y una cuarta característica de la huella dactilar, la tercera característica de la huella dactilar y la cuarta característica de la huella dactilar teniendo una dimensionalidad igual; y determinar si la primera imagen de la huella dactilar y la segunda imagen de la huella dactilar pertenecen a una misma huella dactilar de acuerdo con una distancia de coseno entre la tercera característica de la huella dactilar y la cuarta característica de la huella dactilar; la solución técnica de la presente descripción puede mejorar una tasa de precisión para una imagen de la huella dactilar de baja calidad en el reconocimiento de huellas dactilares.
MX2016005225A 2015-10-28 2015-12-29 Método y aparato de reconocimiento de huellas dactilares. MX361142B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510712896.0A CN105335713A (zh) 2015-10-28 2015-10-28 指纹识别方法及装置
PCT/CN2015/099511 WO2017071083A1 (zh) 2015-10-28 2015-12-29 指纹识别方法及装置

Publications (2)

Publication Number Publication Date
MX2016005225A MX2016005225A (es) 2017-08-31
MX361142B true MX361142B (es) 2018-11-27

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016005225A MX361142B (es) 2015-10-28 2015-12-29 Método y aparato de reconocimiento de huellas dactilares.

Country Status (8)

Country Link
US (1) US9904840B2 (es)
EP (1) EP3163508A1 (es)
JP (1) JP2018500707A (es)
KR (1) KR101992522B1 (es)
CN (1) CN105335713A (es)
MX (1) MX361142B (es)
RU (1) RU2642369C2 (es)
WO (1) WO2017071083A1 (es)

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Also Published As

Publication number Publication date
US9904840B2 (en) 2018-02-27
KR101992522B1 (ko) 2019-06-24
WO2017071083A1 (zh) 2017-05-04
RU2642369C2 (ru) 2018-01-24
EP3163508A1 (en) 2017-05-03
CN105335713A (zh) 2016-02-17
US20170124379A1 (en) 2017-05-04
MX2016005225A (es) 2017-08-31
JP2018500707A (ja) 2018-01-11
KR20180063774A (ko) 2018-06-12

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