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MX2016003679A - Metodo y dispositivo para identificacion de region. - Google Patents

Metodo y dispositivo para identificacion de region.

Info

Publication number
MX2016003679A
MX2016003679A MX2016003679A MX2016003679A MX2016003679A MX 2016003679 A MX2016003679 A MX 2016003679A MX 2016003679 A MX2016003679 A MX 2016003679A MX 2016003679 A MX2016003679 A MX 2016003679A MX 2016003679 A MX2016003679 A MX 2016003679A
Authority
MX
Mexico
Prior art keywords
region
word
histogram
character
column
Prior art date
Application number
MX2016003679A
Other languages
English (en)
Other versions
MX378914B (es
Inventor
Zhang Tao
Chen Zhijun
Long Fei
Original Assignee
Xiaomi Inc
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 Xiaomi Inc filed Critical Xiaomi Inc
Publication of MX2016003679A publication Critical patent/MX2016003679A/es
Publication of MX378914B publication Critical patent/MX378914B/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation 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
    • G06V10/267Segmentation 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 by performing operations on regions, e.g. growing, shrinking or watersheds
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/148Segmentation of character regions
    • G06V30/153Segmentation of character regions using recognition of characters or words
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40Document-oriented image-based pattern recognition
    • G06V30/41Analysis of document content
    • G06V30/414Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/40Image enhancement or restoration using histogram techniques
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/50Extraction 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
    • G06V10/507Summing image-intensity values; Histogram projection analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation 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
    • G06V10/758Involving statistics of pixels or of feature values, e.g. histogram matching
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/146Aligning or centring of the image pick-up or image-field
    • G06V30/1475Inclination or skew detection or correction of characters or of image to be recognised
    • G06V30/1478Inclination or skew detection or correction of characters or of image to be recognised of characters or characters lines
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10004Still image; Photographic image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/28Character recognition specially adapted to the type of the alphabet, e.g. Latin alphabet
    • G06V30/287Character recognition specially adapted to the type of the alphabet, e.g. Latin alphabet of Kanji, Hiragana or Katakana characters

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)
  • Geometry (AREA)
  • Computer Graphics (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)
  • Character Input (AREA)
  • Image Analysis (AREA)

Abstract

Se proporciona un método y dispositivo para identificación de región en la descripción. El método incluye: binarizar una región de palabra, para obtener la región de palabra binarizada, en donde la región de palabra incluye diversas palabras que pertenecen a una misma fila; calcular un histograma en una dirección vertical para la región de palabra binarizada, en donde el histograma incluye abscisas de pixeles en cada columna y un valor acumulado de pixeles de color de primer plano de los pixeles en cada columna; e identificar una región de carácter de cada una de las palabras en la región de palabra, de acuerdo con la información de distribución de valores acumulados en el histograma. La descripción puede resolver el echo en las técnicas relacionadas de que la precisión de la ubicación de región de carácter es relativamente baja y puede obtener un efecto de que la región de carácter de cada palabra puede ubicarse de forma precisa de acuerdo con la información de distribución de valores acumulados de los pixeles de color de primer plano en el histograma.
MX2016003679A 2015-10-30 2015-12-29 Método y dispositivo para identificación de región. MX378914B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510726153.9A CN105528606B (zh) 2015-10-30 2015-10-30 区域识别方法及装置
PCT/CN2015/099299 WO2017071063A1 (zh) 2015-10-30 2015-12-29 区域识别方法及装置

Publications (2)

Publication Number Publication Date
MX2016003679A true MX2016003679A (es) 2018-06-22
MX378914B MX378914B (es) 2025-03-10

Family

ID=55770820

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016003679A MX378914B (es) 2015-10-30 2015-12-29 Método y dispositivo para identificación de región.

Country Status (8)

Country Link
US (1) US10157326B2 (es)
EP (1) EP3163502A1 (es)
JP (1) JP6392468B2 (es)
KR (1) KR101805090B1 (es)
CN (1) CN105528606B (es)
MX (1) MX378914B (es)
RU (1) RU2639668C2 (es)
WO (1) WO2017071063A1 (es)

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US8708227B1 (en) 2006-10-31 2014-04-29 United Services Automobile Association (Usaa) Systems and methods for remote deposit of checks
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US9058512B1 (en) 2007-09-28 2015-06-16 United Services Automobile Association (Usaa) Systems and methods for digital signature detection
US9159101B1 (en) 2007-10-23 2015-10-13 United Services Automobile Association (Usaa) Image processing
US10380562B1 (en) 2008-02-07 2019-08-13 United Services Automobile Association (Usaa) Systems and methods for mobile deposit of negotiable instruments
US10504185B1 (en) 2008-09-08 2019-12-10 United Services Automobile Association (Usaa) Systems and methods for live video financial deposit
US8452689B1 (en) 2009-02-18 2013-05-28 United Services Automobile Association (Usaa) Systems and methods of check detection
US10956728B1 (en) 2009-03-04 2021-03-23 United Services Automobile Association (Usaa) Systems and methods of check processing with background removal
US9779392B1 (en) 2009-08-19 2017-10-03 United Services Automobile Association (Usaa) Apparatuses, methods and systems for a publishing and subscribing platform of depositing negotiable instruments
US8977571B1 (en) 2009-08-21 2015-03-10 United Services Automobile Association (Usaa) Systems and methods for image monitoring of check during mobile deposit
US8699779B1 (en) 2009-08-28 2014-04-15 United Services Automobile Association (Usaa) Systems and methods for alignment of check during mobile deposit
US9129340B1 (en) 2010-06-08 2015-09-08 United Services Automobile Association (Usaa) Apparatuses, methods and systems for remote deposit capture with enhanced image detection
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CN109145891B (zh) * 2018-06-27 2022-08-02 上海携程商务有限公司 客户端及其识别身份证的方法、识别身份证的系统
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CN111104940A (zh) * 2018-10-26 2020-05-05 深圳怡化电脑股份有限公司 图像旋转校正方法、装置、电子设备及存储介质
CN111223104B (zh) * 2018-11-23 2023-10-10 杭州海康威视数字技术股份有限公司 一种包裹提取及跟踪方法、装置及电子设备
CN110533030B (zh) * 2019-08-19 2023-07-14 三峡大学 基于深度学习的太阳胶片图像时间戳信息提取方法
CN111291750B (zh) * 2020-01-21 2023-03-24 河南大学 一种基于空间近邻关系的甲骨文自动标注方法
CN111898602B (zh) * 2020-08-10 2024-04-16 赞同科技股份有限公司 一种图像中的凭证号码区域识别方法、装置及设备
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CN113723301B (zh) * 2021-08-31 2024-08-30 广州新丝路信息科技有限公司 一种进口货物报关单ocr识别分行处理方法及装置
CN117351438B (zh) * 2023-10-24 2024-06-04 武汉无线飞翔科技有限公司 一种基于图像识别的车辆实时位置跟踪方法及系统
CN117274267B (zh) * 2023-11-22 2024-04-05 合肥晶合集成电路股份有限公司 掩膜版图的自动检测方法、装置、处理器以及电子设备
CN117727059B (zh) * 2024-02-18 2024-05-03 蓝色火焰科技成都有限公司 汽车金融发票信息核验方法、装置、电子设备及存储介质
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Also Published As

Publication number Publication date
KR101805090B1 (ko) 2017-12-05
RU2016110434A (ru) 2017-09-26
US20170124414A1 (en) 2017-05-04
EP3163502A1 (en) 2017-05-03
US10157326B2 (en) 2018-12-18
RU2639668C2 (ru) 2017-12-21
JP2018500705A (ja) 2018-01-11
JP6392468B2 (ja) 2018-09-19
KR20170061631A (ko) 2017-06-05
CN105528606A (zh) 2016-04-27
MX378914B (es) 2025-03-10
WO2017071063A1 (zh) 2017-05-04
CN105528606B (zh) 2019-08-06

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