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SG10201808116WA - Binding of selfie face image to iris images for biometric identity enrollment - Google Patents

Binding of selfie face image to iris images for biometric identity enrollment

Info

Publication number
SG10201808116WA
SG10201808116WA SG10201808116WA SG10201808116WA SG10201808116WA SG 10201808116W A SG10201808116W A SG 10201808116WA SG 10201808116W A SG10201808116W A SG 10201808116WA SG 10201808116W A SG10201808116W A SG 10201808116WA SG 10201808116W A SG10201808116W A SG 10201808116WA
Authority
SG
Singapore
Prior art keywords
image
iris images
face image
selfie
biometric identity
Prior art date
Application number
SG10201808116WA
Inventor
Sunny Wang
Keith Walter Hartman
Alastair Ross Partington
Original Assignee
Tascent 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 Tascent Inc filed Critical Tascent Inc
Publication of SG10201808116WA publication Critical patent/SG10201808116WA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/38—Payment protocols; Details thereof
    • G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/401—Transaction verification
    • G06Q20/4014—Identity check for transactions
    • G06Q20/40145—Biometric identity checks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/19—Sensors therefor
    • 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
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06T2207/30201—Face

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Business, Economics & Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Accounting & Taxation (AREA)
  • Ophthalmology & Optometry (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Computer Security & Cryptography (AREA)
  • Collating Specific Patterns (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Input (AREA)

Abstract

BINDING OF SELFIE FACE IMAGE TO IRIS IMAGES FOR BIOMETRIC IDENTITY ENROLLMENT An imaging system associates one or more the iris images with a selfie face image for biometric identity. The imaging system captures a first image of a subject using light in a visible wavelength range and captures a second image of the subject using light in a near infrared wavelength range. The image system retrieves a selfie face image of the subject, and matches a face portion of the first image against a face portion of the selfie face image, wherein the face portion for each at least comprises an iris. In response to the matching, the image system segments one or more iris portions from the second image to generate one or more iris images and binds the first image and the one or more iris images to the selfie face image for biometric identity. (No suitable figure)
SG10201808116WA 2017-09-21 2018-09-19 Binding of selfie face image to iris images for biometric identity enrollment SG10201808116WA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201762561630P 2017-09-21 2017-09-21

Publications (1)

Publication Number Publication Date
SG10201808116WA true SG10201808116WA (en) 2019-04-29

Family

ID=65719353

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201808116WA SG10201808116WA (en) 2017-09-21 2018-09-19 Binding of selfie face image to iris images for biometric identity enrollment

Country Status (3)

Country Link
US (2) US10970539B2 (en)
CN (1) CN109543500A (en)
SG (1) SG10201808116WA (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4113976B1 (en) * 2020-02-27 2025-12-17 NEC Corporation Imaging system, imaging method, and non-transitory computer-readable medium
CN113515975B (en) * 2020-04-10 2022-11-08 北京眼神科技有限公司 Face and iris image acquisition method and device, readable storage medium and equipment
US12511360B2 (en) * 2022-04-27 2025-12-30 Princeton Identity Face biometric recognition with anti-spoofing
CN116543467A (en) * 2023-05-08 2023-08-04 杭州智灵瞳人工智能有限公司 Device and method for realizing combination of three-dimensional face recognition and human iris recognition

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7564994B1 (en) * 2004-01-22 2009-07-21 Fotonation Vision Limited Classification system for consumer digital images using automatic workflow and face detection and recognition
CN101030244B (en) * 2006-03-03 2010-08-18 中国科学院自动化研究所 Automatic identity discriminating method based on human-body physiological image sequencing estimating characteristic
US20160012445A1 (en) * 2011-11-10 2016-01-14 Antony-Euclid C. Villa-Real Customer-controlled instant-response anti-fraud/anti-identity theft devices (with true-personal identity verification), methods and systems for secured global applications in personal/business e-banking, e-commerce, e-medical/health insurance checker, e-education/research/invention, e-disaster advisor, e-immigration, e-airport/aircraft security, e-military/e-law enforcement, with or without nfc component and system, with cellular/satellite phone/internet/multi-media functions
CN103632135B (en) * 2013-11-01 2016-09-28 武汉虹识技术有限公司 A kind of iris image trap setting based on double image sensor
CN105874472B (en) * 2014-02-21 2019-09-17 三星电子株式会社 Multiband bio-identification camera system with iris color identification
US9767358B2 (en) * 2014-10-22 2017-09-19 Veridium Ip Limited Systems and methods for performing iris identification and verification using mobile devices
US10176377B2 (en) * 2015-11-02 2019-01-08 Fotonation Limited Iris liveness detection for mobile devices
US20170140221A1 (en) * 2015-11-13 2017-05-18 Intel Corporation Dual function camera for infrared and visible light with electrically-controlled filters
CN105447371A (en) * 2015-12-29 2016-03-30 深圳市亚略特生物识别科技有限公司 Biological identity identification and verification terminal and electronic system
US20170364897A1 (en) * 2016-06-15 2017-12-21 Anjana Sarkar Method and system for a seamless transition between a smaller sized display and a larger sized display during purchasing interactions

Also Published As

Publication number Publication date
US10970539B2 (en) 2021-04-06
US20210192205A1 (en) 2021-06-24
CN109543500A (en) 2019-03-29
US20190087657A1 (en) 2019-03-21

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