WO2020216091A1 - Procédé de traitement d'image et appareil associé - Google Patents

Procédé de traitement d'image et appareil associé Download PDF

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Publication number
WO2020216091A1
WO2020216091A1 PCT/CN2020/084506 CN2020084506W WO2020216091A1 WO 2020216091 A1 WO2020216091 A1 WO 2020216091A1 CN 2020084506 W CN2020084506 W CN 2020084506W WO 2020216091 A1 WO2020216091 A1 WO 2020216091A1
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WO
WIPO (PCT)
Prior art keywords
image
electronic device
screen
preset
determining
Prior art date
Application number
PCT/CN2020/084506
Other languages
English (en)
Chinese (zh)
Inventor
占文喜
Original Assignee
Oppo广东移动通信有限公司
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 Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Publication of WO2020216091A1 publication Critical patent/WO2020216091A1/fr

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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

Definitions

  • FIG. 2A is a schematic flowchart of an image processing method provided by an embodiment of the present application.
  • Fingerprint lines often have interruptions, bifurcations or turning points. These breakpoints, bifurcation points and turning points are called "feature points”.
  • feature points Each person's fingerprint pattern is unique in patterns, break points and intersections. Only by relying on this uniqueness and stability can we create fingerprint recognition technology.
  • Each person's skin patterns, including fingerprints, are different in patterns, breakpoints, and intersections, which are unique and unchanged throughout their lives.
  • Fingerprint recognition technology has the advantages of fast recognition speed, convenient collection and low price, and is widely used in many disciplines such as image processing, pattern recognition, and computer vision.
  • S205 The electronic device shields the fixed lines on the first image to obtain a target image.
  • a trigger instruction may also be obtained, and the light sensor is activated according to the trigger instruction.
  • the image processing apparatus 600 may further include a storage unit 605 for storing program codes and data of the electronic device, and the storage unit 605 may be a memory.

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)
  • Image Input (AREA)

Abstract

L'invention concerne un procédé de traitement d'images et un appareil associé. Ledit procédé est appliqué à un dispositif électronique, et une région prédéfinie (103) de l'écran (102) du dispositif électronique (101), a une fonction de reconnaissance d'empreinte digitale. Ledit procédé comprend les étapes consistant à : dans un environnement courant, acquérir au moins une image lorsque l'écran (102) est dans un état d'extinction d'écran, et déterminer une première image en fonction de l'au moins une image (S201) ; déterminer une seconde image selon la première image (S202) ; obtenir, en fonction de la deuxième image et de la première image, une troisième image où des informations d'arrière-plan sont éliminées (S203) ; déterminer des lignes fixes existant dans la région prédéfinie en fonction de la troisième image (S204) ; et bloquer les lignes fixes sur la première image pour obtenir une image cible (S205). Le procédé peut résoudre le problème de fausse reconnaissance de lignes fixes par extraction de lignes fixes, application d'un blocage de correspondance sur la région de coordonnées de celles-ci, ce qui évite ainsi une fausse reconnaissance, et améliore la précision et l'intelligence du dispositif électronique (101) effectuant un traitement d'image.
PCT/CN2020/084506 2019-04-22 2020-04-13 Procédé de traitement d'image et appareil associé WO2020216091A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910324848.2 2019-04-22
CN201910324848.2A CN110084170A (zh) 2019-04-22 2019-04-22 图像处理方法及相关装置

Publications (1)

Publication Number Publication Date
WO2020216091A1 true WO2020216091A1 (fr) 2020-10-29

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ID=67416043

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/084506 WO2020216091A1 (fr) 2019-04-22 2020-04-13 Procédé de traitement d'image et appareil associé

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CN (1) CN110084170A (fr)
WO (1) WO2020216091A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
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CN115222653A (zh) * 2021-12-17 2022-10-21 荣耀终端有限公司 测试方法和装置
CN116309625A (zh) * 2022-11-11 2023-06-23 句容市乡土树种研究所 适用于智慧农业的数据处理方法

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* Cited by examiner, † Cited by third party
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CN110084170A (zh) * 2019-04-22 2019-08-02 Oppo广东移动通信有限公司 图像处理方法及相关装置
CN111325702B (zh) * 2020-01-19 2024-03-19 Oppo广东移动通信有限公司 图像融合方法及装置
CN112036366B (zh) * 2020-09-16 2024-07-12 Oppo广东移动通信有限公司 噪声感光单元的确定方法、指纹识别方法及装置

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CN108460346A (zh) * 2018-02-09 2018-08-28 厦门美图移动科技有限公司 指纹识别方法及装置
CN110084170A (zh) * 2019-04-22 2019-08-02 Oppo广东移动通信有限公司 图像处理方法及相关装置

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JP5725012B2 (ja) * 2010-03-04 2015-05-27 日本電気株式会社 異物判定装置、異物判定方法および異物判定プログラム
CN105389542B (zh) * 2015-10-19 2017-12-08 广东欧珀移动通信有限公司 一种终端指纹传感器表面异物的判定方法和装置
CN107918768B (zh) * 2017-11-28 2020-07-10 Oppo广东移动通信有限公司 光学指纹识别方法、装置及电子设备
CN108416338B (zh) * 2018-04-28 2021-12-14 深圳信息职业技术学院 一种非接触掌纹身份认证方法
CN108509944B (zh) * 2018-06-25 2022-04-29 北京小米移动软件有限公司 指纹识别方法及装置
CN109389071A (zh) * 2018-09-29 2019-02-26 京东方科技集团股份有限公司 指纹检测方法与指纹图像补偿方法及装置、电子装置
CN109543378B (zh) * 2018-11-08 2021-08-31 Oppo广东移动通信有限公司 指纹解锁方法及相关设备

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Publication number Priority date Publication date Assignee Title
US20160307023A1 (en) * 2015-04-15 2016-10-20 Samsung Electronics Co., Ltd. Method and apparatus for recognizing fingerprint
CN106446775A (zh) * 2016-08-26 2017-02-22 广东欧珀移动通信有限公司 一种指纹识别方法、装置及电子设备
CN106485237A (zh) * 2016-10-24 2017-03-08 深圳市万普拉斯科技有限公司 指纹图像采集方法、系统及指纹采集设备
CN108460346A (zh) * 2018-02-09 2018-08-28 厦门美图移动科技有限公司 指纹识别方法及装置
CN110084170A (zh) * 2019-04-22 2019-08-02 Oppo广东移动通信有限公司 图像处理方法及相关装置

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115222653A (zh) * 2021-12-17 2022-10-21 荣耀终端有限公司 测试方法和装置
CN115222653B (zh) * 2021-12-17 2023-08-18 荣耀终端有限公司 测试方法和装置
CN116309625A (zh) * 2022-11-11 2023-06-23 句容市乡土树种研究所 适用于智慧农业的数据处理方法
CN116309625B (zh) * 2022-11-11 2024-01-30 句容市乡土树种研究所有限公司 适用于智慧农业的数据处理方法

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