MX384670B - Sistemas y métodos para realizar autentificación del usuario a base de huellas dactilares usando imágenes capturadas usando dispositivos móviles - Google Patents

Sistemas y métodos para realizar autentificación del usuario a base de huellas dactilares usando imágenes capturadas usando dispositivos móviles

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Publication number
MX384670B
MX384670B MX2019006480A MX2019006480A MX384670B MX 384670 B MX384670 B MX 384670B MX 2019006480 A MX2019006480 A MX 2019006480A MX 2019006480 A MX2019006480 A MX 2019006480A MX 384670 B MX384670 B MX 384670B
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MX
Mexico
Prior art keywords
user
fingerprints
systems
methods
mobile devices
Prior art date
Application number
MX2019006480A
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English (en)
Other versions
MX2019006480A (es
Inventor
Andrew Simpson
Aryana Tavanai
Asem Othman
Richard Tyson
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 MX2019006480A publication Critical patent/MX2019006480A/es
Publication of MX384670B publication Critical patent/MX384670B/es

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    • 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
    • G06V40/1353—Extracting features related to minutiae or pores
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation 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
    • G06V10/755—Deformable models or variational models, e.g. snakes or active contours
    • G06V10/7553—Deformable models or variational models, e.g. snakes or active contours based on shape, e.g. active shape models [ASM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent 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
    • 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
    • G06V40/1371—Matching features related to minutiae or pores
    • 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
    • G06V40/1376—Matching features related to ridge properties or fingerprint texture
    • 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
    • G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06V40/1388—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using image processing
    • 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
    • G06V40/1382—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger
    • G06V40/1394—Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger using acquisition arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2016—Rotation, translation, scaling
    • 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
    • G06V40/107—Static hand or arm
    • G06V40/117—Biometrics derived from hands

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Human Computer Interaction (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Mathematical Physics (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Computer Security & Cryptography (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Hardware Design (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Telephone Function (AREA)
  • Image Input (AREA)
  • Image Analysis (AREA)

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.
MX2019006480A 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 MX384670B (es)

Applications Claiming Priority (3)

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
PCT/US2017/065240 WO2018106987A1 (en) 2016-12-08 2017-12-08 Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices

Publications (2)

Publication Number Publication Date
MX2019006480A MX2019006480A (es) 2019-08-01
MX384670B true MX384670B (es) 2025-03-14

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MX2019006480A MX384670B (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
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.
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.

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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.
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.

Country Status (12)

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EP (1) EP3552150B1 (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) MX384670B (es)
WO (1) WO2018106987A1 (es)
ZA (1) ZA201903326B (es)

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KR20230116095A (ko) 2023-08-03
BR112019011205A2 (pt) 2019-10-08
AU2017370720A1 (en) 2019-06-13
CA3044063C (en) 2023-02-28
AU2017370720B2 (en) 2022-06-09
CN110326001A (zh) 2019-10-11
KR20190094352A (ko) 2019-08-13
MX2021008624A (es) 2021-08-19
EP3552150A4 (en) 2020-10-21
EP3552150A1 (en) 2019-10-16
JP7242528B2 (ja) 2023-03-20
EP3552150C0 (en) 2024-08-28
ZA201903326B (en) 2020-01-29
MX2021008626A (es) 2021-08-19
MA48606A (fr) 2020-03-18
MX2019006480A (es) 2019-08-01
CO2019005833A2 (es) 2019-10-21
EP3552150B1 (en) 2024-08-28
JP2020501264A (ja) 2020-01-16
CN110326001B (zh) 2023-07-18
CA3044063A1 (en) 2018-06-14
WO2018106987A1 (en) 2018-06-14
BR112019011205A8 (pt) 2023-04-11
KR102561723B1 (ko) 2023-07-31

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