SE1750155A1 - Enabling identification of fingerprints from captured imagesusing contour points - Google Patents

Enabling identification of fingerprints from captured imagesusing contour points

Info

Publication number
SE1750155A1
SE1750155A1 SE1750155A SE1750155A SE1750155A1 SE 1750155 A1 SE1750155 A1 SE 1750155A1 SE 1750155 A SE1750155 A SE 1750155A SE 1750155 A SE1750155 A SE 1750155A SE 1750155 A1 SE1750155 A1 SE 1750155A1
Authority
SE
Sweden
Prior art keywords
fingerprint
captured
contour points
sensing system
enabling identification
Prior art date
Application number
SE1750155A
Other languages
English (en)
Inventor
B Stegmann Mikkel
Original Assignee
Fingerprint Cards Ab
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 Fingerprint Cards Ab filed Critical Fingerprint Cards Ab
Priority to SE1750155A priority Critical patent/SE1750155A1/sv
Priority to US16/485,262 priority patent/US20190377922A1/en
Priority to CN201880010998.XA priority patent/CN110268421A/zh
Priority to PCT/SE2018/050126 priority patent/WO2018151646A1/en
Priority to EP18753841.8A priority patent/EP3583549A4/en
Publication of SE1750155A1 publication Critical patent/SE1750155A1/sv

Links

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
    • G06V40/1365—Matching; Classification
    • G06V40/1376—Matching features related to ridge properties or fingerprint texture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—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
    • G06V10/752—Contour matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
    • G06V10/422—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
    • G06V10/426—Graphical representations
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop

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)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
SE1750155A 2017-02-17 2017-02-17 Enabling identification of fingerprints from captured imagesusing contour points SE1750155A1 (sv)

Priority Applications (5)

Application Number Priority Date Filing Date Title
SE1750155A SE1750155A1 (sv) 2017-02-17 2017-02-17 Enabling identification of fingerprints from captured imagesusing contour points
US16/485,262 US20190377922A1 (en) 2017-02-17 2018-02-12 Enabling identification of fingerprints from captured images using contour points
CN201880010998.XA CN110268421A (zh) 2017-02-17 2018-02-12 使得能够使用轮廓点从所捕获的图像中识别指纹
PCT/SE2018/050126 WO2018151646A1 (en) 2017-02-17 2018-02-12 Enabling identification of fingerprints from captured images using contour points
EP18753841.8A EP3583549A4 (en) 2017-02-17 2018-02-12 ACTIVATE FINGERPRINT IDENTIFICATION FROM CAPTURED IMAGES USING OUTLINE POINTS

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SE1750155A SE1750155A1 (sv) 2017-02-17 2017-02-17 Enabling identification of fingerprints from captured imagesusing contour points

Publications (1)

Publication Number Publication Date
SE1750155A1 true SE1750155A1 (sv) 2018-08-18

Family

ID=63170761

Family Applications (1)

Application Number Title Priority Date Filing Date
SE1750155A SE1750155A1 (sv) 2017-02-17 2017-02-17 Enabling identification of fingerprints from captured imagesusing contour points

Country Status (5)

Country Link
US (1) US20190377922A1 (sv)
EP (1) EP3583549A4 (sv)
CN (1) CN110268421A (sv)
SE (1) SE1750155A1 (sv)
WO (1) WO2018151646A1 (sv)

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS6461870A (en) * 1987-09-01 1989-03-08 Fujitsu Ltd Method for detecting crack distribution of ridge line of fingerprint image
WO1997028845A1 (en) * 1996-02-09 1997-08-14 Mayo Foundation For Medical Education And Research Radiotherapy treatment using medial access transformation
WO2001024700A1 (en) * 1999-10-07 2001-04-12 Veridicom, Inc. Spoof detection for biometric sensing systems
US20070230754A1 (en) * 2006-03-30 2007-10-04 Jain Anil K Level 3 features for fingerprint matching
WO2008090608A1 (ja) * 2007-01-24 2008-07-31 Fujitsu Limited 画像読取装置、画像読取プログラム、画像読取方法
US10445555B2 (en) * 2009-01-27 2019-10-15 Sciometrics, Llc Systems and methods for ridge-based fingerprint analysis
KR100916474B1 (ko) * 2009-04-28 2009-09-08 최준수 등고선이 표현하는 지역을 다각형 세부 영역들로 분해하고 수치표고모델 데이터와 지형 표면 구성 데이터를 산출하는 방법과, 그 방법을 실행하기 위한 프로그램이 기록된 기록 매체
WO2012106728A1 (en) * 2011-02-04 2012-08-09 Gannon Technologies Group, Llc Systems and methods for biometric identification
CN103927542B (zh) * 2014-04-25 2017-04-26 陕西科技大学 一种三维指纹特征提取方法
CN105814586B (zh) * 2016-03-17 2019-10-01 深圳信炜科技有限公司 指纹注册方法、指纹识别系统、以及电子设备
WO2017214793A1 (zh) * 2016-06-13 2017-12-21 北京小米移动软件有限公司 指纹模板生成方法及装置

Also Published As

Publication number Publication date
CN110268421A (zh) 2019-09-20
EP3583549A4 (en) 2021-01-06
EP3583549A1 (en) 2019-12-25
US20190377922A1 (en) 2019-12-12
WO2018151646A1 (en) 2018-08-23

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