Segmentation of Printed Text in Devanagari Script and Gurmukhi Script
نویسندگان
چکیده
منابع مشابه
Segmentation Problems and Solutions in Printed Degraded Gurmukhi Script
Character segmentation is an important preprocessing step for text recognition. In degraded documents, existence of touching characters decreases recognition rate drastically, for any optical character recognition (OCR) system. In this paper we have proposed a complete solution for segmenting touching characters in all the three zones of printed Gurmukhi script. A study of touching Gurmukhi cha...
متن کاملOn Segmentation of Touching Characters and Overlapping Lines in Degraded Printed Gurmukhi Script
Character segmentation plays a very important role in a text recognition system. The simple technique of using inter-character gap for segmentation is useful for fine printed documents, but this technique fails to give satisfactory results if the input text contains touching characters. In this paper, we have proposed two algorithms to segment touching characters, and one algorithm to segment o...
متن کاملSegmentation of Broken Characters of Handwritten Gurmukhi Script
Character Segmentation of Handwritten Documents has been an active area of research and due to its diverse applicable environment; it continues to be a challenging research topic. The desire to edit scanned text document forces the researchers to think about the optical character recognition (OCR). OCR is the process of recognizing a segmented part of the scanned image as a character. OCR proce...
متن کاملGurmukhi Script To Braille Code
Braille is the language used by the blind people for developing their learning and writing skills. Braille code is widely used by the blind people all over the world to become educated and led their life successfully. In this paper I presented the development of the whole system which converts Gurmukhi to braille.
متن کاملOffline Handwritten Devanagari Script Recognition
Handwritten Devanagari script recognition system using neural network is presented in this paper. Diagonal based feature extraction is used for extracting features of the handwritten Devanagari script. After that these feature of each character image is converted into chromosome bit string of length 378. More than 1000 sample is used for training and testing purpose in this proposed work. It is...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/749-1058