Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-06-30
IJRTE 2(2):40-42(2009)
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
In this paper a scheme for offline Handwritten Devnagari Character Recognition is proposed, which uses different feature extraction methodologies and recognition algorithms. The proposed system assumes no constraints in writing style or size. First the character is preprocessed and features namely : Chain code histogram and moment invariant features are extracted and fed to Multilayer Perceptrons as a preliminary recognition step. Finally the results of both MLP's are combined using weighted majority scheme. The proposed system is tested on 1500 handwritten devnagari character database collected from different people. It is observed that the proposed system achieves recognition rates 98.03% for top 5 results and 89.46% for top 1 result.
Arora Sandhya
Basu Dipak Kumar
Bhattacharjee Debotosh
Kundu Mahantapas
Nasipuri Mita
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