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A presentation on attempt to extract words from handwritten text lines in Gujarati script is hereby submitted. The very cursive nature of most Indian scripts makes the word extraction process a very critical one for Optical Character Recognition (OCR) activity. This cursive nature also causes difficulty during character extraction and modifier extraction. Word extraction is considered as one of the...
Stroke size and position are considered as important information for online recognition of handwritten characters and words in oriental and Indie family of scripts especially because of their multi-stroke and two-dimensional nature. In an Indie script such as Devanagari, the vowel diacritics (matras) can occur at any position around the base consonant and there are even pairs of matras which have...
A novel method to reduce the lexicon size in handwritten word recognition is proposed in this paper. Due to large lexica, the computational cost of current word recognisers is often too high for practical applications. The proposed lexicon reduction method is based on character shape codes. We examine four different shape code mappings based on machine printed character font, on handprint, and on...
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