MX2016003769A - Metodo y dispositivo para extraccion de region. - Google Patents
Metodo y dispositivo para extraccion de region.Info
- Publication number
- MX2016003769A MX2016003769A MX2016003769A MX2016003769A MX2016003769A MX 2016003769 A MX2016003769 A MX 2016003769A MX 2016003769 A MX2016003769 A MX 2016003769A MX 2016003769 A MX2016003769 A MX 2016003769A MX 2016003769 A MX2016003769 A MX 2016003769A
- Authority
- MX
- Mexico
- Prior art keywords
- area
- information
- information area
- extracting method
- document image
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
-
- 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
- G06V30/41—Analysis of document content
- G06V30/412—Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables
-
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- 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
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
-
- 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
- G06V10/40—Extraction of image or video features
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
- G06V10/507—Summing image-intensity values; Histogram projection analysis
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- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/146—Aligning or centring of the image pick-up or image-field
- G06V30/1475—Inclination or skew detection or correction of characters or of image to be recognised
- G06V30/1478—Inclination or skew detection or correction of characters or of image to be recognised of characters or characters lines
-
- 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
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
-
- 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
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/158—Segmentation of character regions using character size, text spacings or pitch estimation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- Character Input (AREA)
- Image Analysis (AREA)
Abstract
Se proporcionan un método y dispositivo para extracción de región en la descripción, la cual pertenece al campo técnico de procesamiento de imágenes. El método puede comprender: obtener una posición de región de una primera región de información en una imagen de credencial; determinar una segunda región de información de acuerdo con la posición de región de la primera región de información; y segmentar la segunda región de información para obtener al menos una zona de caracteres. Los problemas de que en la técnica relacionada a la región de que el reconocimiento de algunas regiones de información en una imagen de credencial fotografiada directamente es difícil de implementar y la colocación de algunas regiones de información es imprecisa, pueden resolverse. Los siguientes efectos pueden alcanzarse en que determinan la segunda información de región besándose en la posición de región de la primera región de información en una imagen de credencial y segmentar la segunda región de información, de esta manera colocando de forma precisa la segunda región de información y reconociendo la zona de caracteres en la segunda región de información.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510726272.4A CN105426818B (zh) | 2015-10-30 | 2015-10-30 | 区域提取方法及装置 |
PCT/CN2015/099298 WO2017071062A1 (zh) | 2015-10-30 | 2015-12-29 | 区域提取方法及装置 |
Publications (2)
Publication Number | Publication Date |
---|---|
MX2016003769A true MX2016003769A (es) | 2017-05-30 |
MX364147B MX364147B (es) | 2019-04-12 |
Family
ID=55505018
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2016003769A MX364147B (es) | 2015-10-30 | 2015-12-29 | Método y dispositivo para extracción de región. |
Country Status (8)
Country | Link |
---|---|
US (1) | US10127471B2 (es) |
EP (1) | EP3163504B1 (es) |
JP (1) | JP6396605B2 (es) |
KR (1) | KR101760109B1 (es) |
CN (1) | CN105426818B (es) |
MX (1) | MX364147B (es) |
RU (1) | RU2642404C2 (es) |
WO (1) | WO2017071062A1 (es) |
Families Citing this family (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107229932B (zh) * | 2016-03-25 | 2021-05-28 | 阿里巴巴集团控股有限公司 | 一种图像文本的识别方法和装置 |
CN106547912A (zh) * | 2016-11-25 | 2017-03-29 | 西安理工大学 | 身份证数据库中非二代身份证照片的识别和剔除方法 |
CN108388872B (zh) * | 2018-02-28 | 2021-10-22 | 北京奇艺世纪科技有限公司 | 一种基于字体颜色的新闻标题识别方法及装置 |
CN108764240A (zh) * | 2018-03-28 | 2018-11-06 | 中科博宏(北京)科技有限公司 | 基于字符相对大小的计算机视觉身份证字符分割识别技术 |
KR102063036B1 (ko) * | 2018-04-19 | 2020-01-07 | 한밭대학교 산학협력단 | 딥러닝과 문자인식으로 구현한 시각주의 모델 기반의 문서 종류 자동 분류 장치 및 방법 |
CN109977959B (zh) * | 2019-03-29 | 2021-07-06 | 国家电网有限公司 | 一种火车票字符区域分割方法及装置 |
US11501548B2 (en) * | 2019-04-02 | 2022-11-15 | Edgeverve Systems Limited | Method and system for determining one or more target objects in an image |
CN110321895A (zh) * | 2019-04-30 | 2019-10-11 | 北京市商汤科技开发有限公司 | 证件识别方法和装置、电子设备、计算机可读存储介质 |
CN110378340A (zh) * | 2019-07-23 | 2019-10-25 | 上海秒针网络科技有限公司 | 地址合规识别方法、装置、存储介质及电子装置 |
WO2021145466A1 (ko) * | 2020-01-13 | 2021-07-22 | 엘지전자 주식회사 | 객체의 정보를 확인하는 이동 단말기 및 그 제어 방법 |
CN111539269A (zh) * | 2020-04-07 | 2020-08-14 | 北京达佳互联信息技术有限公司 | 文本区域的识别方法、装置、电子设备和存储介质 |
CN111582085B (zh) * | 2020-04-26 | 2023-10-10 | 中国工商银行股份有限公司 | 单据拍摄图像识别方法及装置 |
CN111639648B (zh) * | 2020-05-26 | 2023-09-19 | 浙江大华技术股份有限公司 | 证件识别方法、装置、计算设备和存储介质 |
CN111898601A (zh) * | 2020-07-14 | 2020-11-06 | 浙江大华技术股份有限公司 | 一种身份证要素提取方法及装置 |
CN112633193A (zh) * | 2020-12-28 | 2021-04-09 | 深圳壹账通智能科技有限公司 | 地址信息的提取方法、装置、设备及介质 |
US20240112348A1 (en) * | 2021-02-09 | 2024-04-04 | Hewlett-Packard Development Company, L.P. | Edge identification of documents within captured image |
CN113592877B (zh) * | 2021-03-25 | 2024-04-12 | 国网新源控股有限公司 | 一种抽水蓄能电站红线超标识别方法及装置 |
CN115082919B (zh) * | 2022-07-22 | 2022-11-29 | 平安银行股份有限公司 | 一种地址识别方法、电子设备及存储介质 |
CN115862041B (zh) * | 2023-02-13 | 2023-05-09 | 武汉天恒信息技术有限公司 | 一种基于神经网络的不动产证书识别方法 |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
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JP3795238B2 (ja) * | 1998-10-01 | 2006-07-12 | シャープ株式会社 | 文書画像処理装置及び文書画像処理方法 |
RU2329535C2 (ru) * | 2006-05-24 | 2008-07-20 | Самсунг Электроникс Ко., Лтд. | Способ автоматического кадрирования фотографий |
JP2010231541A (ja) * | 2009-03-27 | 2010-10-14 | Oki Electric Ind Co Ltd | 情報処理装置、文字認識方法、およびプログラム |
CN101561876A (zh) * | 2009-06-05 | 2009-10-21 | 四川泸州航天金穗高技术有限公司 | 一种身份证信息采集与识别方法及系统 |
JP5591578B2 (ja) * | 2010-04-19 | 2014-09-17 | 日本電産サンキョー株式会社 | 文字列認識装置および文字列認識方法 |
CN102955941A (zh) * | 2011-08-31 | 2013-03-06 | 汉王科技股份有限公司 | 身份信息录入方法和装置 |
KR101295000B1 (ko) * | 2013-01-22 | 2013-08-09 | 주식회사 케이지모빌리언스 | 카드 번호의 영역 특성을 이용하는 신용 카드의 번호 인식 시스템 및 신용 카드의 번호 인식 방법 |
JP6080259B2 (ja) * | 2013-02-06 | 2017-02-15 | 日本電産サンキョー株式会社 | 文字切り出し装置及び文字切り出し方法 |
JP6188052B2 (ja) * | 2013-02-26 | 2017-08-30 | Kddi株式会社 | 情報システム及びサーバー |
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 |
KR20150047060A (ko) | 2013-10-23 | 2015-05-04 | 주식회사 디오텍 | 명함 이미지 여부를 판별하는 장치 및 방법 |
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 |
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 |
-
2015
- 2015-10-30 CN CN201510726272.4A patent/CN105426818B/zh active Active
- 2015-12-29 KR KR1020167005538A patent/KR101760109B1/ko active IP Right Grant
- 2015-12-29 RU RU2016110818A patent/RU2642404C2/ru active
- 2015-12-29 JP JP2017547045A patent/JP6396605B2/ja active Active
- 2015-12-29 WO PCT/CN2015/099298 patent/WO2017071062A1/zh active Application Filing
- 2015-12-29 MX MX2016003769A patent/MX364147B/es active IP Right Grant
-
2016
- 2016-10-20 US US15/298,352 patent/US10127471B2/en active Active
- 2016-10-24 EP EP16195231.2A patent/EP3163504B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
EP3163504B1 (en) | 2019-01-02 |
JP2018500704A (ja) | 2018-01-11 |
JP6396605B2 (ja) | 2018-09-26 |
WO2017071062A1 (zh) | 2017-05-04 |
CN105426818B (zh) | 2019-07-02 |
EP3163504A1 (en) | 2017-05-03 |
KR20170061630A (ko) | 2017-06-05 |
KR101760109B1 (ko) | 2017-07-31 |
US10127471B2 (en) | 2018-11-13 |
MX364147B (es) | 2019-04-12 |
RU2642404C2 (ru) | 2018-01-24 |
US20170124718A1 (en) | 2017-05-04 |
CN105426818A (zh) | 2016-03-23 |
RU2016110818A (ru) | 2017-10-02 |
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