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GB2581646A - Fingerprint registration method and electronic device using the same - Google Patents

Fingerprint registration method and electronic device using the same Download PDF

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Publication number
GB2581646A
GB2581646A GB2005582.8A GB202005582A GB2581646A GB 2581646 A GB2581646 A GB 2581646A GB 202005582 A GB202005582 A GB 202005582A GB 2581646 A GB2581646 A GB 2581646A
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United Kingdom
Prior art keywords
swipe
processor
frame
fingerprint
frames
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
GB2005582.8A
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GB202005582D0 (en
GB2581646B (en
Inventor
Chiang Yuan-Lin
Fan Yuan-Chang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Egis Technology Inc
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Egis Technology Inc
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Publication of GB202005582D0 publication Critical patent/GB202005582D0/en
Publication of GB2581646A publication Critical patent/GB2581646A/en
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Publication of GB2581646B publication Critical patent/GB2581646B/en
Expired - Fee Related legal-status Critical Current
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    • 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
    • G06V40/1335Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • 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
    • G06V40/50Maintenance of biometric data or enrolment thereof

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Collating Specific Patterns (AREA)
  • User Interface Of Digital Computer (AREA)
  • Image Input (AREA)

Abstract

A fingerprint registration method and an electronic device using the same are provided. The fingerprint registration method includes the following steps: sequentially obtaining a plurality of swipe frames of a fingerprint by a fingerprint sensor; sequentially analyzing the swipe frames by a processor to obtain a plurality of feature points; sequentially merging the feature points of the swipe frames into pre-registration data by the processor; sequentially updating a completion area displayed on a user interface by the processor according to relative position relationships of the feature points of the swipe frames; and determining whether the pre-registration data satisfies a preset completion condition by the processor, so as to determine whether to end the fingerprint registration.

Claims (12)

1. A fingerprint registration method,  adapted to an electronic device to execute a fingerprint registration pro cedure to generate registration data of a fingerprint,  wherein the electronic device comprises a processor,  a fingerprint sensor and a display,  the fingerprint registration method comprising: sequentially obtaining a plurality of swipe frames of the fingerprint by t he fingerprint sensor; sequentially analyzing the swipe frames by the processor to obtain a plura lity of feature points of the swipe frames; sequentially merging the feature points of the swipe frames into pre-regis tration data by the processor; sequentially updating a completion area displayed on a user interface of t he display by the processor according to relative position relationships o f the feature points of the swipe frames; and determining whether the pre-registration data satisfies a preset completio n condition by the processor,  so as to determine whether to end the fingerprint registration procedure.
2. The fingerprint registration method as claimed in claim 1,  wherein in the step of sequentially merging the feature points of the swi pe frames into the pre-registration data by the processor,  for each of the swipe frames, the processor executes the following steps: comparing the feature points of the swipe frame and the feature points of  a corresponding previous swipe frame by the processor to calculate a motio n vector used for correcting the previous swipe frame; dividing the previous swipe frame along a direction of the motion vector b y the processor to generate a plurality of sub-swipe frames; aligning the sub-swipe frames by the processor according to a Gaussian cur ve corresponding to the previous swipe frame,  so as to correct the previous swipe frame; analyzing the corrected previous swipe frame by the processor to obtain a  plurality of feature points of the corrected previous swipe frame; generating a fingerprint dataset by the processor according to the feature  points of the corrected previous swipe frame; and merging the fingerprint dataset of the previous swipe frame into the pre-r egistration data by the processor.
3. The fingerprint registration method as claimed in claim 1,  wherein in the step of updating the completion area displayed on the user  interface of the display by the processor according to the relative posit ion relationships of the feature points of the swipe frames,  for each of the swipe frames, the processor executes a following step: according to each of the feature points of the swipe frame,  generating an expansion block corresponding to the feature point and disp laying the same on the user interface by the processor,  so as to update the completion area, wherein a display position of the expansion block on the user interface is  determined according to a relative position relationship between the curr ent feature point and another feature point in the pre-registration data.
4. The fingerprint registration method as claimed in claim 3,  wherein the current feature point and the other feature point are in a sa me fingerprint dataset.
5. The fingerprint registration method as claimed in claim 1,  wherein in the step of sequentially updating the completion area displaye d on the user interface of the display by the processor according to the r elative position relationships of the feature points of the swipe frames,  for each of the swipe frames, the processor executes the following steps: comparing the feature points of the swipe frame and the feature points of  a corresponding previous swipe frame by the processor to find the feature  points repeatedly appearing in the swipe frame and the corresponding previ ous swipe frame,  and calculating a displacement amount and a displacement direction of the  repeatedly appearing feature points to obtain a motion vector between the  swipe frame and the corresponding previous swipe frame; and determining a display position of an expansion block corresponding to the  swipe frame on the user interface by the processor according to the motion  vector of the swipe frame and displaying the expansion block,  so as to update the completion area.
6. The fingerprint registration method as claimed in claim 1,  wherein in the step of sequentially updating the completion area displaye d on the user interface of the display by the processor according to the r elative position relationships of the feature points of the swipe frames,  for each of the swipe frames, the processor executes the following steps: comparing a fingerprint dataset of the swipe frame and the pre-registratio n data by the processor,  so as to obtain a motion vector of the fingerprint dataset relative to th e pre-registration data; and displaying an expansion block corresponding to the swipe frame on the user  interface by the processor according to the motion vector,  so as to update the completion area.
7. An electronic device capable of performing a process of fingerprint regist ration, comprising: a fingerprint sensor,  configured to sequentially obtain a plurality of swipe frames of a finger  object; a processor, coupled to the fingerprint sensor,  and configured to sequentially analyze the swipe frames to obtain a plura lity of feature points of the swipe frames; and a display, coupled to the processor, wherein the processor sequentially merges the feature points of the swipe  frames into pre-registration data, the processor sequentially updates a completion area displayed on a user i nterface of the display according to relative position relationships of th e feature points of the swipe frames, and the processor determines whether the pre-registration data satisfies a pre set completion condition,  so as to determine whether to end the process of fingerprint registration .
8. The electronic device as claimed in claim 7,  wherein for each of the swipe frames,  the processor compares the feature points of the swipe frame and the feat ure points of a corresponding previous swipe frame to calculate a motion v ector used for correcting the previous swipe frame, the processor divides the previous swipe frame along a direction of the mo tion vector to generate a plurality of sub-swipe frames, the processor aligns the sub-swipe frames according to a Gaussian curve co rresponding to the previous swipe frame,  so as to correct the previous swipe frame, the processor analyzes the corrected previous swipe frame to obtain a plur ality of feature points of the corrected previous swipe frame, the processor generates a fingerprint dataset according to the feature poi nts of the corrected previous swipe frame, and the processor merges the fingerprint dataset of the previous swipe frame i nto the pre-registration data.
9. The electronic device as claimed in claim 7,  wherein for each of the swipe frames,  according to each of the feature points of the swipe frame,  the processor generates an expansion block corresponding to the feature p oint and displays the same on the user interface,  so as to update the completion area, and wherein a display position of the expansion block on the user interface is  determined according to a relative position relationship between the curr ent feature point and another feature point in the pre-registration data.
10. The electronic device as claimed in claim 9,  wherein the current feature point and the other feature point are in the  same fingerprint dataset.
11. The electronic device as claimed in claim 7,  wherein for each of the swipe frames,  the processor compares the feature points of the swipe frame and the feat ure points of a corresponding previous swipe frame to find the feature poi nts repeatedly appearing in the swipe frame and the corresponding previous  swipe frame,  and calculates a displacement amount and a displacement direction of the  repeatedly appearing feature points to obtain a motion vector between the  swipe frame and the corresponding previous swipe frame, and the processor determines a display position of an expansion block correspo nding to the swipe frame on the user interface according to the motion vec tor of the swipe frame and displays the expansion block,  so as to update the completion area.
12. The electronic device as claimed in claim 7,  wherein for each of the swipe frames,  the processor compares a fingerprint dataset of the swipe frame and the p re-registration data to obtain a motion vector of the fingerprint dataset  relative to the pre-registration data, and the processor displays an expansion block corresponding to the swipe frame  on the user interface according to the motion vector,  so as to update the completion area.
GB2005582.8A 2018-04-12 2019-04-10 Fingerprint registration method and electronic device using the same Expired - Fee Related GB2581646B (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862656367P 2018-04-12 2018-04-12
US201862660268P 2018-04-20 2018-04-20
PCT/CN2019/082121 WO2019196882A1 (en) 2018-04-12 2019-04-10 Fingerprint registration method and electronic device using the same

Publications (3)

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GB202005582D0 GB202005582D0 (en) 2020-06-03
GB2581646A true GB2581646A (en) 2020-08-26
GB2581646B GB2581646B (en) 2021-12-29

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GB2005582.8A Expired - Fee Related GB2581646B (en) 2018-04-12 2019-04-10 Fingerprint registration method and electronic device using the same

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JP (1) JP6765539B2 (en)
DE (1) DE112019001860T5 (en)
GB (1) GB2581646B (en)
TW (1) TWI735821B (en)
WO (1) WO2019196882A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114998944B (en) * 2021-09-02 2025-09-23 神盾股份有限公司 Method, electronic device and computer-readable storage medium for fingerprint registration
CN114662031B (en) * 2022-03-16 2025-10-28 卓米私人有限公司 User registration method, device, electronic device and storage medium

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US20160203354A1 (en) * 2015-01-08 2016-07-14 Samsung Electronics Co., Ltd. Method, apparatus, and system for recognizing fingerprint

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WO2004026139A1 (en) * 2002-09-17 2004-04-01 Fujitsu Limited Biological information acquiring apparatus and authentication apparatus using biological information
JP2006107366A (en) * 2004-10-08 2006-04-20 Fujitsu Ltd Biometric information input device, biometric authentication device, biometric information processing method, biometric information processing program, and computer-readable recording medium recording the program
JP5292821B2 (en) * 2008-01-16 2013-09-18 ソニー株式会社 Vein image acquisition device and vein image acquisition method
KR102438110B1 (en) * 2014-10-15 2022-08-31 삼성전자주식회사 User terminal device and iris recognition method thereof
KR102396514B1 (en) * 2015-04-29 2022-05-11 삼성전자주식회사 Fingerprint information processing method and electronic device supporting the same
CN106547338A (en) * 2015-09-22 2017-03-29 小米科技有限责任公司 Instruction generation method and device
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Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1924889A (en) * 2005-08-30 2007-03-07 知网生物识别科技股份有限公司 Device and method for fingerprint registration
US20160117545A1 (en) * 2014-10-24 2016-04-28 Egis Technology Inc. Method and electronic device for generating fingerprint enrollment data
US20160203354A1 (en) * 2015-01-08 2016-07-14 Samsung Electronics Co., Ltd. Method, apparatus, and system for recognizing fingerprint

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Publication number Publication date
DE112019001860T5 (en) 2021-01-14
JP6765539B2 (en) 2020-10-07
GB202005582D0 (en) 2020-06-03
TW201944287A (en) 2019-11-16
WO2019196882A1 (en) 2019-10-17
JP2020518874A (en) 2020-06-25
GB2581646B (en) 2021-12-29
TWI735821B (en) 2021-08-11

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PCNP Patent ceased through non-payment of renewal fee

Effective date: 20230410