MX2018003051A - Calidad de imagen y características, mejora de imagen y extracción de características para reconocimiento ocular-vascular y facial, y fusión de información ocular-vascular con facial y/o sub-facial para sistemas biométricos. - Google Patents

Calidad de imagen y características, mejora de imagen y extracción de características para reconocimiento ocular-vascular y facial, y fusión de información ocular-vascular con facial y/o sub-facial para sistemas biométricos.

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Publication number
MX2018003051A
MX2018003051A MX2018003051A MX2018003051A MX2018003051A MX 2018003051 A MX2018003051 A MX 2018003051A MX 2018003051 A MX2018003051 A MX 2018003051A MX 2018003051 A MX2018003051 A MX 2018003051A MX 2018003051 A MX2018003051 A MX 2018003051A
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ocular
facial
vascular
image
regions
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MX2018003051A
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English (en)
Inventor
R Derakhshani Reza
Gottemukkula Vikas
K Saripalle Sashi
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Eyeverify Inc
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Publication of MX2018003051A publication Critical patent/MX2018003051A/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
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/98Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993Evaluation of the quality of the acquired pattern
    • 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
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • 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
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification
    • 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
    • G06V40/18Eye characteristics, e.g. of the iris
    • 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
    • G06V40/18Eye characteristics, e.g. of the iris
    • G06V40/197Matching; Classification
    • 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
    • G06V10/46Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/467Encoded features or binary features, e.g. local binary patterns [LBP]
    • 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
    • G06V10/50Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • 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
    • G06V10/56Extraction of image or video features relating to colour
    • 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
    • G06V40/18Eye characteristics, e.g. of the iris
    • G06V40/193Preprocessing; Feature extraction

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Quality & Reliability (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Ophthalmology & Optometry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Collating Specific Patterns (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Eye Examination Apparatus (AREA)

Abstract

Se describen las tecnicas de inscripcion y verificacion biometrica para las regiones ocular-vascular, periocular y facial. Las regiones de imagen perioculares se pueden definir con base en las dimensiones de una region ocular identificada en una imagen de una region facial. Los descriptores de caracteristicas se pueden generar para puntos de interes en las regiones ocular y periocular usando una combinacion de descriptores de caracteristicas de histograma de patrones. Las metricas de calidad para las regiones se pueden determinar en funcion de los puntajes del valor de region calculados con base en la textura que rodea los puntos de interes. Un proceso de correspondencia biometrica para el calculo de un puntaje de coincidencia basado en las regiones ocular y periocular puede progresivamente incluir regiones perioculares adicionales para obtener una mayor confianza de coincidencia.
MX2018003051A 2015-09-11 2016-09-09 Calidad de imagen y características, mejora de imagen y extracción de características para reconocimiento ocular-vascular y facial, y fusión de información ocular-vascular con facial y/o sub-facial para sistemas biométricos. MX2018003051A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562217660P 2015-09-11 2015-09-11
PCT/US2016/050999 WO2017044782A1 (en) 2015-09-11 2016-09-09 Image and feature quality, image enhancement and feature extraction for ocular-vascular and facial recognition, and fusing ocular-vascular with facial and/or sub-facial information for biometric systems

Publications (1)

Publication Number Publication Date
MX2018003051A true MX2018003051A (es) 2018-06-08

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MX2018003051A MX2018003051A (es) 2015-09-11 2016-09-09 Calidad de imagen y características, mejora de imagen y extracción de características para reconocimiento ocular-vascular y facial, y fusión de información ocular-vascular con facial y/o sub-facial para sistemas biométricos.

Country Status (14)

Country Link
US (3) US9721150B2 (es)
EP (1) EP3347853A1 (es)
JP (3) JP6416438B2 (es)
KR (3) KR102067947B1 (es)
CN (2) CN110852160B (es)
AU (3) AU2016319775B2 (es)
BR (2) BR112018004755A2 (es)
HK (1) HK1251933A1 (es)
MX (1) MX2018003051A (es)
PH (1) PH12018500541A1 (es)
RU (2) RU2711050C2 (es)
SG (2) SG10202001382XA (es)
TW (3) TWI706272B (es)
WO (1) WO2017044782A1 (es)

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