MX2016003318A - Metodo y aparato para identificacion de area. - Google Patents
Metodo y aparato para identificacion de area.Info
- Publication number
- MX2016003318A MX2016003318A MX2016003318A MX2016003318A MX2016003318A MX 2016003318 A MX2016003318 A MX 2016003318A MX 2016003318 A MX2016003318 A MX 2016003318A MX 2016003318 A MX2016003318 A MX 2016003318A MX 2016003318 A MX2016003318 A MX 2016003318A
- Authority
- MX
- Mexico
- Prior art keywords
- predetermined
- edge
- image
- predetermined edge
- candidate
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/414—Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- 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
- G06V10/44—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
-
- 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
- G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching
-
- 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
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- 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
- G06T2207/20024—Filtering details
-
- 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
- G06T2207/30176—Document
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
- G06V40/173—Classification, e.g. identification face re-identification, e.g. recognising unknown faces across different face tracks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Image Analysis (AREA)
- Character Input (AREA)
- Image Processing (AREA)
Abstract
Un método y aparato para identificación de área se proveen en la descripción, que pertenece al campo técnico de procesamiento de imagen. El método puede comprender: identificar un borde predefinido en una imagen de identificación, en donde el borde predefinido es un borde ubicado en una dirección predefinida de la identificación; determinar uno de n candidatos de borde predefinido para ser un borde predefinido de destino cuando se han identificado los n candidatos de borde predefinido, en donde n = 2; identificar por lo menos un área de información en la imagen de identificación con base en el límite predefinido de destino. Puede resolver los problemas en la técnica relacionada de que es difícil identificar algunas áreas de información en la imagen de identificación obtenida directamente por fotografía y que las posiciones de algunas áreas de información son inexactas, y puede lograr el efecto de ubicar las áreas de información con exactitud al determinar el borde predefinido de destino con base en los n candidatos de borde predefinido en la imagen de identificación y determinar por lo menos una información con base en el borde predefinido de destino. [Figura 1].
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510726012.7A CN105550633B (zh) | 2015-10-30 | 2015-10-30 | 区域识别方法及装置 |
PCT/CN2015/099286 WO2017071061A1 (zh) | 2015-10-30 | 2015-12-28 | 区域识别方法及装置 |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2016003318A true MX2016003318A (es) | 2018-06-22 |
Family
ID=55829816
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2016003318A MX2016003318A (es) | 2015-10-30 | 2015-12-28 | Metodo y aparato para identificacion de area. |
Country Status (8)
Country | Link |
---|---|
US (1) | US10095949B2 (es) |
EP (1) | EP3163503A1 (es) |
JP (1) | JP6392467B2 (es) |
KR (1) | KR101758580B1 (es) |
CN (1) | CN105550633B (es) |
MX (1) | MX2016003318A (es) |
RU (1) | RU2633184C2 (es) |
WO (1) | WO2017071061A1 (es) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106710372A (zh) * | 2017-01-11 | 2017-05-24 | 成都市极米科技有限公司 | 拼音卡片识别方法、装置以及终端设备 |
CN107358150B (zh) * | 2017-06-01 | 2020-08-18 | 深圳赛飞百步印社科技有限公司 | 物体边框识别方法、装置和高拍仪 |
CN109559344B (zh) * | 2017-09-26 | 2023-10-13 | 腾讯科技(上海)有限公司 | 边框检测方法、装置及存储介质 |
US10740644B2 (en) * | 2018-02-27 | 2020-08-11 | Intuit Inc. | Method and system for background removal from documents |
KR102063036B1 (ko) * | 2018-04-19 | 2020-01-07 | 한밭대학교 산학협력단 | 딥러닝과 문자인식으로 구현한 시각주의 모델 기반의 문서 종류 자동 분류 장치 및 방법 |
JP6574921B1 (ja) * | 2018-07-06 | 2019-09-11 | 楽天株式会社 | 画像処理システム、画像処理方法、及びプログラム |
JP7018372B2 (ja) * | 2018-08-30 | 2022-02-10 | 株式会社Pfu | 画像処理装置及び画像処理方法 |
US10331966B1 (en) * | 2018-10-19 | 2019-06-25 | Capital One Services, Llc | Image processing to detect a rectangular object |
CN111325197B (zh) * | 2018-11-29 | 2023-10-31 | 北京搜狗科技发展有限公司 | 数据处理方法和装置、用于数据处理的装置 |
WO2020229517A1 (de) * | 2019-05-13 | 2020-11-19 | Prismade Labs Gmbh | Vorrichtung und verfahren zur kontrolle von elektrisch leitfähigen sicherheitsmerkmalen und kontrollvorrichtung für elektrisch leitfähige sicherheitsmerkmale |
CN110399872B (zh) * | 2019-06-20 | 2023-04-28 | 创新先进技术有限公司 | 图像处理方法以及装置 |
CN110738204B (zh) * | 2019-09-18 | 2023-07-25 | 平安科技(深圳)有限公司 | 一种证件区域定位的方法及装置 |
CN111260631B (zh) * | 2020-01-16 | 2023-05-05 | 成都地铁运营有限公司 | 一种高效刚性接触线结构光光条提取方法 |
CN111724346A (zh) * | 2020-05-21 | 2020-09-29 | 北京配天技术有限公司 | 直线边缘检测方法、机器人及存储装置 |
CN113835582B (zh) * | 2021-09-27 | 2024-03-15 | 青岛海信移动通信技术有限公司 | 一种终端设备、信息显示方法和存储介质 |
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JPH08161423A (ja) * | 1994-12-06 | 1996-06-21 | Dainippon Printing Co Ltd | 照明装置および文字読取装置 |
DE19958553A1 (de) * | 1999-12-04 | 2001-06-07 | Luratech Ges Fuer Luft Und Rau | Verfahren zur Kompression von gescannten Farb- und/oder Graustufendokumenten |
JP3823782B2 (ja) * | 2001-08-31 | 2006-09-20 | 日産自動車株式会社 | 先行車両認識装置 |
KR100608443B1 (ko) | 2004-06-30 | 2006-08-02 | 노틸러스효성 주식회사 | 형태복원을 통한 지로인식방법 |
RU2309456C2 (ru) * | 2005-12-08 | 2007-10-27 | "Аби Софтвер Лтд." | Способ распознавания текстовой информации из векторно-растрового изображения |
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JP5742399B2 (ja) * | 2011-04-06 | 2015-07-01 | 富士ゼロックス株式会社 | 画像処理装置及びプログラム |
CN102693421B (zh) * | 2012-05-31 | 2013-12-04 | 东南大学 | 基于sift 特征包的牛眼虹膜图像识别方法 |
CN103577817B (zh) | 2012-07-24 | 2017-03-01 | 阿里巴巴集团控股有限公司 | 表单识别方法与装置 |
CN102982160B (zh) | 2012-12-05 | 2016-04-20 | 上海合合信息科技发展有限公司 | 方便电子化的专业笔记本及其电子化文档的自动分类方法 |
CN104217444B (zh) * | 2013-06-03 | 2018-06-05 | 支付宝(中国)网络技术有限公司 | 定位卡片区域的方法和设备 |
JP6161484B2 (ja) | 2013-09-19 | 2017-07-12 | 株式会社Pfu | 画像処理装置、画像処理方法及びコンピュータプログラム |
CN103488984B (zh) * | 2013-10-11 | 2017-04-12 | 瑞典爱立信有限公司 | 基于智能移动设备的二代身份证识别方法及装置 |
CN104573616A (zh) * | 2013-10-29 | 2015-04-29 | 腾讯科技(深圳)有限公司 | 一种信息识别方法、相关装置及系统 |
KR101663790B1 (ko) | 2014-04-11 | 2016-10-10 | (주) 엠티콤 | 얼굴인식장치 및 그 동작 방법 |
CN104268864B (zh) * | 2014-09-18 | 2017-04-12 | 小米科技有限责任公司 | 卡片边缘提取方法和装置 |
CN104408450A (zh) * | 2014-11-21 | 2015-03-11 | 深圳天源迪科信息技术股份有限公司 | 身份证识别方法、装置及系统 |
CN105528600A (zh) | 2015-10-30 | 2016-04-27 | 小米科技有限责任公司 | 区域识别方法及装置 |
-
2015
- 2015-10-30 CN CN201510726012.7A patent/CN105550633B/zh active Active
- 2015-12-28 KR KR1020167005597A patent/KR101758580B1/ko active IP Right Grant
- 2015-12-28 MX MX2016003318A patent/MX2016003318A/es active IP Right Grant
- 2015-12-28 RU RU2016109047A patent/RU2633184C2/ru active
- 2015-12-28 JP JP2017547044A patent/JP6392467B2/ja active Active
- 2015-12-28 WO PCT/CN2015/099286 patent/WO2017071061A1/zh active Application Filing
-
2016
- 2016-10-20 US US15/298,340 patent/US10095949B2/en active Active
- 2016-10-21 EP EP16195105.8A patent/EP3163503A1/en not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
KR20170061633A (ko) | 2017-06-05 |
US20170124419A1 (en) | 2017-05-04 |
RU2633184C2 (ru) | 2017-10-11 |
JP6392467B2 (ja) | 2018-09-19 |
CN105550633A (zh) | 2016-05-04 |
US10095949B2 (en) | 2018-10-09 |
JP2018500703A (ja) | 2018-01-11 |
EP3163503A1 (en) | 2017-05-03 |
KR101758580B1 (ko) | 2017-07-14 |
RU2016109047A (ru) | 2017-09-19 |
CN105550633B (zh) | 2018-12-11 |
WO2017071061A1 (zh) | 2017-05-04 |
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