MX2021008626A - Sistemas y metodos para realizar autentificacion del usuario a base de huellas dactilares usando imagenes capturadas usando dispositivos moviles. - Google Patents

Sistemas y metodos para realizar autentificacion del usuario a base de huellas dactilares usando imagenes capturadas usando dispositivos moviles.

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Publication number
MX2021008626A
MX2021008626A MX2021008626A MX2021008626A MX2021008626A MX 2021008626 A MX2021008626 A MX 2021008626A MX 2021008626 A MX2021008626 A MX 2021008626A MX 2021008626 A MX2021008626 A MX 2021008626A MX 2021008626 A MX2021008626 A MX 2021008626A
Authority
MX
Mexico
Prior art keywords
user
systems
performing fingerprint
methods
captured
Prior art date
Application number
MX2021008626A
Other languages
English (en)
Inventor
Asem Othman
Richard Tyson
Andrew Simpson
Aryana Tavanai
Yiqun Xue
Original Assignee
Veridium Ip Ltd
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
Priority claimed from US15/704,561 external-priority patent/US10521643B2/en
Application filed by Veridium Ip Ltd filed Critical Veridium Ip Ltd
Publication of MX2021008626A publication Critical patent/MX2021008626A/es

Links

Classifications

    • 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
    • G06V40/1353Extracting features related to minutiae or pores
    • 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
    • G06F18/24143Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • 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
    • 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
    • G06V10/755Deformable models or variational models, e.g. snakes or active contours
    • G06V10/7553Deformable models or variational models, e.g. snakes or active contours based on shape, e.g. active shape models [ASM]
    • 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
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • G06V40/13Sensors therefor
    • G06V40/1318Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • 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
    • G06V40/1359Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • 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
    • G06V40/1371Matching features related to minutiae or pores
    • 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
    • G06V40/1376Matching features related to ridge properties or fingerprint texture
    • 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
    • G06V40/1382Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06V40/1388Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using image processing
    • 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
    • G06V40/1382Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06V40/1394Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using acquisition arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20Indexing scheme for editing of 3D models
    • G06T2219/2016Rotation, translation, scaling
    • 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
    • G06V40/107Static hand or arm
    • G06V40/117Biometrics derived from hands

Abstract

La presente invención se refiere a tecnologías en apoyo de un sistema y método para realizar reconocimiento de huella dactilar. Las modalidades de la presente invención se refieren a un sistema y método para capturar las características biométricas de un usuario y generar un identificador que caracteriza las características biométricas del usuario usando un dispositivo móvil tal como un teléfono inteligente. El identificador biométrico es generado usando imágenes capturadas de una pluralidad de dedos de un usuario con el propósito de autentificar/identificar al usuario de conformidad con las biométricas capturadas y determinar vida del usuario. La presente descripción también describe técnicas adicionales pare prevenir autentificación errónea causada por la falsificación. En algunos ejemplos, las técnicas anti-falsificación pueden incluir capturar una o más imágenes de los dedos de un usuario y analizar las imágenes capturadas para indicaciones de vida.
MX2021008626A 2016-12-08 2019-06-03 Sistemas y metodos para realizar autentificacion del usuario a base de huellas dactilares usando imagenes capturadas usando dispositivos moviles. MX2021008626A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662431629P 2016-12-08 2016-12-08
US15/704,561 US10521643B2 (en) 2015-02-06 2017-09-14 Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices

Publications (1)

Publication Number Publication Date
MX2021008626A true MX2021008626A (es) 2021-08-19

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MX2019006480A MX2019006480A (es) 2016-12-08 2017-12-08 Sistemas y métodos para realizar autentificación del usuario a base de huellas dactilares usando imágenes capturadas usando dispositivos móviles.
MX2021008626A MX2021008626A (es) 2016-12-08 2019-06-03 Sistemas y metodos para realizar autentificacion del usuario a base de huellas dactilares usando imagenes capturadas usando dispositivos moviles.
MX2021008624A MX2021008624A (es) 2016-12-08 2019-06-03 Sistemas y metodos para realizar autentificacion del usuario a base de huellas dactilares usando imagenes capturadas usando dispositivos moviles.

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EP (1) EP3552150A4 (es)
JP (1) JP7242528B2 (es)
KR (2) KR102561723B1 (es)
CN (1) CN110326001B (es)
AU (1) AU2017370720B2 (es)
BR (1) BR112019011205A8 (es)
CA (1) CA3044063C (es)
CO (1) CO2019005833A2 (es)
MA (1) MA48606A (es)
MX (3) MX2019006480A (es)
WO (1) WO2018106987A1 (es)
ZA (1) ZA201903326B (es)

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Also Published As

Publication number Publication date
CA3044063A1 (en) 2018-06-14
BR112019011205A8 (pt) 2023-04-11
CO2019005833A2 (es) 2019-10-21
BR112019011205A2 (pt) 2019-10-08
MX2021008624A (es) 2021-08-19
JP7242528B2 (ja) 2023-03-20
EP3552150A4 (en) 2020-10-21
CA3044063C (en) 2023-02-28
JP2020501264A (ja) 2020-01-16
AU2017370720A1 (en) 2019-06-13
MA48606A (fr) 2020-03-18
KR20230116095A (ko) 2023-08-03
EP3552150A1 (en) 2019-10-16
MX2019006480A (es) 2019-08-01
KR20190094352A (ko) 2019-08-13
WO2018106987A1 (en) 2018-06-14
ZA201903326B (en) 2020-01-29
CN110326001B (zh) 2023-07-18
AU2017370720B2 (en) 2022-06-09
KR102561723B1 (ko) 2023-07-31
CN110326001A (zh) 2019-10-11

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