HANDWRITTEN DEVANAGARI VOWEL RECOGNITION USING ARTIFICIAL NEURAL NETWORK
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Abstract
Handwritten character recognition is active and open field of research in the area of pattern recognition. As, there is continuous developments in the hardware i.e. Machine. At the same time, many researchers are working in the field of character recognition from more than last four decays. Handwritten character recognition involves reading of handwritten character and comparing the required one. Human being is doing this task while learning characters in the childhood. But the same task for machine is much complex. This complexity depends on the environment in which the character was written. For the machine the process of reading, understanding and interpretation of handwritten character is difficult task. This research work proposes new approaches for extracting features in context of Handwritten Devanagari Vowels recognition. For classification technique Artificial Network is used. The overall accuracy of recognition of handwritten Devanagari Vowels is % with SVM classifier, % with MLP and it is %with GFF.
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