MX2020011313A - Metodo para distinguir un objeto tridimensional real de una simulacion bidimensional del objeto real. - Google Patents

Metodo para distinguir un objeto tridimensional real de una simulacion bidimensional del objeto real.

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Publication number
MX2020011313A
MX2020011313A MX2020011313A MX2020011313A MX2020011313A MX 2020011313 A MX2020011313 A MX 2020011313A MX 2020011313 A MX2020011313 A MX 2020011313A MX 2020011313 A MX2020011313 A MX 2020011313A MX 2020011313 A MX2020011313 A MX 2020011313A
Authority
MX
Mexico
Prior art keywords
real
image
dimensional
spoof
distinguishing
Prior art date
Application number
MX2020011313A
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=61768233&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=MX2020011313(A) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Identy Inc filed Critical Identy Inc
Publication of MX2020011313A publication Critical patent/MX2020011313A/es

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Classifications

    • 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
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G—PHYSICS
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    • 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; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/04—Architecture, e.g. interconnection topology
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
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    • G—PHYSICS
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    • G06V10/17—Image acquisition using hand-held instruments
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    • G06V10/20—Image preprocessing
    • G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
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    • G06V10/443—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 by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
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    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
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    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
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    • G06V20/64—Three-dimensional objects
    • G—PHYSICS
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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    • G06V30/142—Image acquisition using hand-held instruments; Constructional details of the instruments
    • 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
    • G06V40/107—Static hand or arm
    • G—PHYSICS
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    • 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; 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
    • G06V40/1347—Preprocessing; Feature extraction
    • 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
    • G06V40/1382—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; 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
    • G06V40/40—Spoof detection, e.g. liveness detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/02—Constructional features of telephone sets
    • H04M1/0202—Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
    • H04M1/026—Details of the structure or mounting of specific components
    • H04M1/0264—Details of the structure or mounting of specific components for a camera module assembly
    • 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
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • 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
    • G06T2207/30196—Human being; Person
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/12—Bounding box

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)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Hardware Design (AREA)
  • Image Analysis (AREA)
  • Collating Specific Patterns (AREA)
  • Image Processing (AREA)
  • Debugging And Monitoring (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Un método para distinguir un objeto tridimensional real, tal como el dedo de una mano, de una simulación bidimensional del objeto real, en donde el método comprende: obtener, por un sensor óptico de un dispositivo móvil, una imagen, en donde la imagen contiene la simulación o el objeto real; proporcionar la imagen a una red neuronal; procesar la imagen por la red neuronal; en donde el procesamiento comprende calcular al menos uno de: un mapa de distancia representativo de la distancia de una pluralidad de pixeles al sensor óptico, en donde los pixeles constituyen al menos una porción del objeto dentro de la imagen; un patrón de reflexión representativo de la reflexión de la luz asociada con una pluralidad de pixeles que constituyan al menos una porción del objeto dentro de la imagen; y en donde el procesamiento comprende además comparar, preferiblemente usando la red neuronal, al menos uno del mapa de distancia calculado o el patrón de reflexión calculado con un mapa de distancia aprendido o un patrón de reflexión aprendido, determinando así, con base en un resultado de la comparación, que la imagen contiene la simulación o el objeto real.
MX2020011313A 2018-03-16 2019-05-09 Metodo para distinguir un objeto tridimensional real de una simulacion bidimensional del objeto real. MX2020011313A (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/IB2019/053824 WO2019207557A1 (en) 2018-03-16 2019-05-09 Method for distinguishing a real three-dimensional object from a two-dimensional spoof of the real object

Publications (1)

Publication Number Publication Date
MX2020011313A true MX2020011313A (es) 2021-04-28

Family

ID=61768233

Family Applications (2)

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.

Family Applications Before (1)

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.

Country Status (13)

Country Link
US (4) US11508184B2 (es)
EP (3) EP3540633B1 (es)
JP (2) JP7386545B2 (es)
KR (4) KR102554724B1 (es)
CN (1) CN111989689A (es)
AU (2) AU2019234110B2 (es)
BR (2) BR112020018915A2 (es)
CA (3) CA3215158A1 (es)
ES (2) ES2837382T3 (es)
MX (2) MX2020009382A (es)
PE (2) PE20201181A1 (es)
WO (2) WO2019175846A1 (es)
ZA (2) ZA202006256B (es)

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KR20230107415A (ko) 2023-07-14
EP3540636A1 (en) 2019-09-18
AU2019234110A1 (en) 2020-09-24
KR102554724B1 (ko) 2023-07-11
JP7386545B2 (ja) 2023-11-27
WO2019207557A1 (en) 2019-10-31
ZA202006256B (en) 2021-09-29
BR112020021946A2 (pt) 2021-01-26
PE20201181A1 (es) 2020-11-03
AU2019234110B2 (en) 2022-02-03
MX2020009382A (es) 2020-12-11
KR20200130440A (ko) 2020-11-18
KR102442844B1 (ko) 2022-09-14
EP3540633A1 (en) 2019-09-18
ES2837382T3 (es) 2021-06-30
AU2022202817A1 (en) 2022-05-19
US11495050B2 (en) 2022-11-08
PE20240541A1 (es) 2024-03-19
EP3540635A1 (en) 2019-09-18
JP2021522591A (ja) 2021-08-30
CA3093966A1 (en) 2019-09-19
US20210027041A1 (en) 2021-01-28
WO2019175846A1 (en) 2019-09-19
US20220335748A1 (en) 2022-10-20
BR112020018915A2 (pt) 2020-12-29
KR102629380B1 (ko) 2024-01-24
US11508184B2 (en) 2022-11-22
AU2022202817B2 (en) 2023-05-18
ES2828358T3 (es) 2021-05-26
US20210103749A1 (en) 2021-04-08
KR20210032310A (ko) 2021-03-24
ZA202007383B (en) 2021-09-29
EP3540635B1 (en) 2020-08-26
KR20220125377A (ko) 2022-09-14
JP2021517330A (ja) 2021-07-15
CA3098286C (en) 2024-02-13
CN111989689A (zh) 2020-11-24
US20230011257A1 (en) 2023-01-12
CA3093966C (en) 2023-11-14
CA3098286A1 (en) 2019-10-31
CA3215158A1 (en) 2019-09-19
JP7304082B2 (ja) 2023-07-06
EP3540633B1 (en) 2020-09-23

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