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Text Character Extraction Implementation from Captured Handwritten Image to Text Conversionusing Template Matching Technique

MATEC Web of Conferences, 2016, Vol.57, p.1010 [Peer Reviewed Journal]

2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/20165701010

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  • Title:
    Text Character Extraction Implementation from Captured Handwritten Image to Text Conversionusing Template Matching Technique
  • Author: Barate, Seema ; Kamthe, Chaitrali ; Phadtare, Shweta ; Jagtap, Rupali ; Veeramanickam, M.R.M
  • Rani, S. ; Srivastava, T. ; Kakkar, S.
  • Subjects: Algorithms ; Computer vision ; Handwriting ; Image analysis ; Image contrast ; Template matching ; Vehicle identification
  • Is Part Of: MATEC Web of Conferences, 2016, Vol.57, p.1010
  • Description: Images contain various types of useful information that should be extracted whenever required. A various algorithms and methods are proposed to extract text from the given image, and by using that user will be able to access the text from any image. Variations in text may occur because of differences in size, style,orientation, alignment of text, and low image contrast, composite backgrounds make the problem during extraction of text. If we develop an application that extracts and recognizes those texts accurately in real time, then it can be applied to many important applications like document analysis, vehicle license plate extraction, text- based image indexing, etc and many applications have become realities in recent years. To overcome the above problems we develop such application that will convert the image into text by using algorithms, such as bounding box, HSV model, blob analysis,template matching, template generation.
  • Publisher: Les Ulis: EDP Sciences
  • Language: English
  • Identifier: ISSN: 2261-236X
    ISSN: 2274-7214
    EISSN: 2261-236X
    DOI: 10.1051/matecconf/20165701010
  • Source: EDP Open
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals

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