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- W2085298606 abstract "Segmentation of line, word and character are one of the critical phases of optical character recognition (OCR). Due to the imperfection in segmentation, most of the recognition system produce poor recognition rate. In this paper we are discussing some novel approach for line, word and character segmentation of printed Manipuri document. Few works has been done for optical character recognition on other Indian script however in case of Manipuri language it is almost negligible. To the best of our knowledge this is the first report on segmentation of documents containing Manipuri script forms. So keeping these things in mind here, in this paper we are discussing some approach to succeed in the above mentioned task. Here first we are discussing about the structure of Manipuri language, and then we discuss some idea for segmentation of line, word and character from degraded Manipuri document. Finally we discuss about various existing recognition technique." @default.
- W2085298606 created "2016-06-24" @default.
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- W2085298606 date "2014-11-01" @default.
- W2085298606 modified "2023-10-16" @default.
- W2085298606 title "Line, Word, and Character Segmentation of Manipuri Machine Printed Text" @default.
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- W2085298606 doi "https://doi.org/10.1109/cicn.2014.55" @default.
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