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MX2020009382A - Metodo para identificar un objeto dentro de una imagen y dispositivo movil para ejecutar el metodo. - Google Patents

Metodo para identificar un objeto dentro de una imagen y dispositivo movil para ejecutar el metodo.

Info

Publication number
MX2020009382A
MX2020009382A MX2020009382A MX2020009382A MX2020009382A MX 2020009382 A MX2020009382 A MX 2020009382A MX 2020009382 A MX2020009382 A MX 2020009382A MX 2020009382 A MX2020009382 A MX 2020009382A MX 2020009382 A MX2020009382 A MX 2020009382A
Authority
MX
Mexico
Prior art keywords
image
biometric characteristic
user
mobile device
execute
Prior art date
Application number
MX2020009382A
Other languages
English (en)
Inventor
Jesus Aragon
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 MX2020009382A publication Critical patent/MX2020009382A/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/255Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/10Image acquisition
    • G06V10/17Image acquisition using hand-held instruments
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
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    • GPHYSICS
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    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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    • G06V30/142Image acquisition using hand-held instruments; Constructional details of the instruments
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V40/1312Sensors therefor direct reading, e.g. contactless acquisition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/40Spoof detection, e.g. liveness detection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/56Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20021Dividing image into blocks, subimages or windows
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person

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)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Biophysics (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Signal Processing (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Image Analysis (AREA)
  • Collating Specific Patterns (AREA)
  • Image Processing (AREA)
  • Debugging And Monitoring (AREA)
  • Computer Security & Cryptography (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Computer Hardware Design (AREA)

Abstract

Un método para identificar a un usuario usando 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 puntas de dedo, comprendiendo el método: obtener, mediante un sensor óptico de un dispositivo móvil, la imagen del objeto; proporcionar la imagen a una red neuronal; procesar la imagen por parte de la red neuronal, identificando de este modo tanto la posición del objeto como el objeto en la imagen; extraer, del objeto identificado, la característica biométrica; almacenar la característica biométrica en un dispositivo de almacenamiento y/o proporcionar al menos la característica biométrica como entrada a un medio de identificación, que comprende procesar la entrada con el fin de determinar si la característica biométrica identifica al usuario.
MX2020009382A 2018-03-16 2019-03-15 Metodo para identificar un objeto dentro de una imagen y dispositivo movil para ejecutar el metodo. MX2020009382A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP18382174.3A EP3540635B1 (en) 2018-03-16 2018-03-16 Method for identifying an object within an image and mobile device for executing the method
PCT/IB2019/052126 WO2019175846A1 (en) 2018-03-16 2019-03-15 Method for identifying an object within an image and mobile device for executing the method

Publications (1)

Publication Number Publication Date
MX2020009382A true MX2020009382A (es) 2020-12-11

Family

ID=61768233

Family Applications (3)

Application Number Title Priority Date Filing Date
MX2020009382A MX2020009382A (es) 2018-03-16 2019-03-15 Metodo para identificar un objeto dentro de una imagen y dispositivo movil para ejecutar el metodo.
MX2020011313A MX2020011313A (es) 2018-03-16 2019-05-09 Metodo para distinguir un objeto tridimensional real de una simulacion bidimensional del objeto real.
MX2024003152A MX2024003152A (es) 2018-03-16 2020-09-09 Metodo para identificar un objeto dentro de una imagen y dispositivo movil para ejecutar el metodo.

Family Applications After (2)

Application Number Title Priority Date Filing Date
MX2020011313A MX2020011313A (es) 2018-03-16 2019-05-09 Metodo para distinguir un objeto tridimensional real de una simulacion bidimensional del objeto real.
MX2024003152A MX2024003152A (es) 2018-03-16 2020-09-09 Metodo para identificar un objeto dentro de una imagen y dispositivo movil para ejecutar el metodo.

Country Status (13)

Country Link
US (4) US11508184B2 (es)
EP (3) EP3540635B1 (es)
JP (2) JP7386545B2 (es)
KR (4) KR102554724B1 (es)
CN (1) CN111989689B (es)
AU (2) AU2019234110B2 (es)
BR (2) BR112020018915A2 (es)
CA (3) CA3093966C (es)
ES (2) ES2837382T3 (es)
MX (3) MX2020009382A (es)
PE (3) PE20201181A1 (es)
WO (2) WO2019175846A1 (es)
ZA (2) ZA202006256B (es)

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Publication number Publication date
ES2828358T3 (es) 2021-05-26
KR20210032310A (ko) 2021-03-24
ZA202007383B (en) 2021-09-29
EP3540636A1 (en) 2019-09-18
US20210103749A1 (en) 2021-04-08
BR112020018915A2 (pt) 2020-12-29
US20230011257A1 (en) 2023-01-12
CA3098286C (en) 2024-02-13
US12087078B2 (en) 2024-09-10
JP2021517330A (ja) 2021-07-15
ZA202006256B (en) 2021-09-29
CA3215158A1 (en) 2019-09-19
PE20250719A1 (es) 2025-03-06
US20210027041A1 (en) 2021-01-28
AU2019234110A1 (en) 2020-09-24
KR20220125377A (ko) 2022-09-14
US11508184B2 (en) 2022-11-22
KR20230107415A (ko) 2023-07-14
AU2022202817B2 (en) 2023-05-18
EP3540635A1 (en) 2019-09-18
WO2019175846A1 (en) 2019-09-19
CN111989689A (zh) 2020-11-24
EP3540633A1 (en) 2019-09-18
AU2022202817A1 (en) 2022-05-19
CA3093966C (en) 2023-11-14
CA3098286A1 (en) 2019-10-31
PE20201181A1 (es) 2020-11-03
BR112020021946A2 (pt) 2021-01-26
ES2837382T3 (es) 2021-06-30
KR102629380B1 (ko) 2024-01-24
AU2019234110B2 (en) 2022-02-03
KR20200130440A (ko) 2020-11-18
JP7386545B2 (ja) 2023-11-27
KR102442844B1 (ko) 2022-09-14
MX2024003152A (es) 2024-04-15
JP2021522591A (ja) 2021-08-30
MX2020011313A (es) 2021-04-28
CA3093966A1 (en) 2019-09-19
US12106597B2 (en) 2024-10-01
EP3540633B1 (en) 2020-09-23
WO2019207557A1 (en) 2019-10-31
JP7304082B2 (ja) 2023-07-06
PE20240541A1 (es) 2024-03-19
US11495050B2 (en) 2022-11-08
CN111989689B (zh) 2025-01-10
KR102554724B1 (ko) 2023-07-11
EP3540635B1 (en) 2020-08-26
US20220335748A1 (en) 2022-10-20

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