MX2021009532A - Metodo para verificar la identidad de un usuario mediante la identificacion de un objeto dentro de una imagen que tiene una caracteristica biometrica del usuario y la separacion de una porcion de la imagen que comprende la caracteristica biometrica de otras porciones de la imagen. - Google Patents

Metodo para verificar la identidad de un usuario mediante la identificacion de un objeto dentro de una imagen que tiene una caracteristica biometrica del usuario y la separacion de una porcion de la imagen que comprende la caracteristica biometrica de otras porciones de la imagen.

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Publication number
MX2021009532A
MX2021009532A MX2021009532A MX2021009532A MX2021009532A MX 2021009532 A MX2021009532 A MX 2021009532A MX 2021009532 A MX2021009532 A MX 2021009532A MX 2021009532 A MX2021009532 A MX 2021009532A MX 2021009532 A MX2021009532 A MX 2021009532A
Authority
MX
Mexico
Prior art keywords
image
user
biometric characteristic
roi
identifying
Prior art date
Application number
MX2021009532A
Other languages
English (en)
Inventor
Jesus Aragon
Hardik Gupta
Satheesh Murugan
Original Assignee
Identy 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 Identy Inc filed Critical Identy Inc
Publication of MX2021009532A publication Critical patent/MX2021009532A/es

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V40/1312—Sensors therefor direct reading, e.g. contactless acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
    • G02B27/30—Collimators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/141—Control of illumination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/06—Recognition of objects for industrial automation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Human Computer Interaction (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Accounting & Taxation (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Quality & Reliability (AREA)
  • Neurology (AREA)
  • Game Theory and Decision Science (AREA)
  • Optics & Photonics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Signal Processing (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Image Analysis (AREA)
  • Collating Specific Patterns (AREA)

Abstract

Un método para identificar a un usuario con el uso de una imagen de un objeto del usuario que tiene una característica biométrica del usuario, como una huella dactilar o un conjunto de huellas dactilares de yemas de dedos, el método comprende: obtener, mediante un sensor óptico de un dispositivo móvil, la imagen del objeto; proporcionar la imagen o una porción de la imagen hacia una red neuronal; procesar la imagen o parte de la imagen por la red neuronal, que comprende distinguir, por la red neuronal, una porción de la imagen o la parte de la imagen que comprende la región de interés, ROI, de otra porción de la imagen; extraer, de la imagen o de la parte de la imagen, la ROI; almacenar la porción que comprende la ROI en un dispositivo de almacenamiento y/o proporcionar la porción que comprende la ROI como una entrada hacia un medio de identificación, que comprende extraer la característica biométrica de la ROI y procesar la característica biométrica extraída con el fin de determinar si la característica biométrica extraída identifica el usuario.
MX2021009532A 2019-02-26 2020-02-24 Metodo para verificar la identidad de un usuario mediante la identificacion de un objeto dentro de una imagen que tiene una caracteristica biometrica del usuario y la separacion de una porcion de la imagen que comprende la caracteristica biometrica de otras porciones de la imagen. MX2021009532A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP19382137.8A EP3702958B1 (en) 2019-02-26 2019-02-26 Method for verifying the identity of a user by identifying an object within an image that has a biometric characteristic of the user and separating a portion of the image comprising the biometric characteristic from other portions of the image
PCT/IB2020/051523 WO2020174350A1 (en) 2019-02-26 2020-02-24 Method for verifying the identity of a user by identifying an object within an image that has a biometric characteristic of the user and separating a portion of the image comprising the biometric characteristic from other portions of the image

Publications (1)

Publication Number Publication Date
MX2021009532A true MX2021009532A (es) 2021-09-08

Family

ID=65766948

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021009532A MX2021009532A (es) 2019-02-26 2020-02-24 Metodo para verificar la identidad de un usuario mediante la identificacion de un objeto dentro de una imagen que tiene una caracteristica biometrica del usuario y la separacion de una porcion de la imagen que comprende la caracteristica biometrica de otras porciones de la imagen.

Country Status (8)

Country Link
US (2) US11783625B2 (es)
EP (2) EP3702958B1 (es)
JP (2) JP7258375B2 (es)
KR (1) KR102634186B1 (es)
BR (1) BR112021016734A2 (es)
ES (1) ES2943287T3 (es)
MX (1) MX2021009532A (es)
WO (1) WO2020174350A1 (es)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11301586B1 (en) * 2019-04-05 2022-04-12 T Stamp Inc. Systems and processes for lossy biometric representations

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2884096C (en) 2012-09-05 2021-01-26 Element, Inc. System and method for biometric authentication in connection with camera-equipped devices
US9424458B1 (en) * 2015-02-06 2016-08-23 Hoyos Labs Ip Ltd. Systems and methods for performing fingerprint based user authentication using imagery captured using mobile devices
US9968257B1 (en) * 2017-07-06 2018-05-15 Halsa Labs, LLC Volumetric quantification of cardiovascular structures from medical imaging
US10679351B2 (en) * 2017-08-18 2020-06-09 Samsung Electronics Co., Ltd. System and method for semantic segmentation of images
CN108009520B (zh) * 2017-12-21 2020-09-01 西安格威西联科技有限公司 基于卷积变分自编码器网络的手指静脉识别方法及系统
US10726302B2 (en) * 2018-11-29 2020-07-28 Qualcomm Incorporated Edge computing
CN110956654B (zh) * 2019-12-02 2023-09-19 Oppo广东移动通信有限公司 图像处理方法、装置、设备及存储介质

Also Published As

Publication number Publication date
WO2020174350A1 (en) 2020-09-03
JP7258375B2 (ja) 2023-04-17
ES2943287T3 (es) 2023-06-12
EP3702958B1 (en) 2023-04-05
EP3702958A1 (en) 2020-09-02
US20220157077A1 (en) 2022-05-19
BR112021016734A2 (pt) 2021-10-13
JP2022522429A (ja) 2022-04-19
US20230394871A1 (en) 2023-12-07
KR102634186B1 (ko) 2024-02-06
EP4036795A1 (en) 2022-08-03
KR20210127257A (ko) 2021-10-21
US11783625B2 (en) 2023-10-10
JP2023082065A (ja) 2023-06-13

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