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Multilingual Character Recognition And Character Translation For Indian Document Images

Author(s):

Gunjal Harshada Arun , S.V.P.M. COE Malegaon(bk); Darekar Swamini Shahaji, S.V.P.M. COE Malegaon(bk); Rupanavar Divya Bapurao, S.V.P.M. COE Malegaon(bk); Prof. Pawar A. H., S.V.P.M. COE Malegaon(bk)

Keywords:

Character Recognition, Detection, Segmentation, Translation

Abstract

Character translation is the technique which is used for the translate character in the one language to another language like Marathi to Hindi or Hindi to English. The translator is taking the character which is segmented by the character segmentation and then translates it into our specific language. The purpose of this project is to develop such a tool which takes an Image as input and extract characters (alphabets, digits, symbols) from it. This Image can be of handwritten document or Printed document. Also it can be used as a form of data entry from printed records. And to translate the recognized character into specified Indian language. In this proposed system detecting text from an image is an important prerequisite for the content based image analysis process. All users are understand the contents of an image or the valuable information, there is need of analysing the text appears in it. The purpose of this design document is to explore the logical view of architecture design, sequence diagram, data flow diagram, and user interface design of the software for programming. The operation such as recognition, detection, segmentation and translation and displaying the text present in the images.

Other Details

Paper ID: IJSRDV6I90080
Published in: Volume : 6, Issue : 9
Publication Date: 01/12/2018
Page(s): 57-58

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