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- W2584703120 abstract "The aim of this paper is to develop software which can recognize off line Devanagari special words wh ich is made up of half consonant and consonant and spec ial characters which is half form of consonant from scanned image of written documents using neural network. This paper will help to support easily digitization o f the Devanagri script. Using this methodology for reorga nization of the special characters of Devanagri scr ipt it is also easy to digitize the books written in Devanagri bec ause ability of this methodology not only recognize s the normal characters but also the special characters. Some co nventional methods like feature extraction and edge detection will be used for pre-processing the characters. These ch aracters will be analysed by comparing its features . The process of data training of samples collected by different people will be followed after previous process. The proposed method will provide accuracy up-to 90% for special characters of deavanagri script with less training time." @default.
- W2584703120 created "2017-02-10" @default.
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- W2584703120 date "2013-01-01" @default.
- W2584703120 modified "2023-09-24" @default.
- W2584703120 title "TECHNOLOGY Handwritten Devnagari Special Characters and Words Recognition Using Neural Network" @default.
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