Structured based Feature Extraction of Handwritten Marathi word | Zendy

C. Namrata Mahender | Zendy

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Structured based Feature Extraction of Handwritten Marathi word

Author(s) -

C. Namrata Mahender

Publication year - 2011

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/2013-2718

Subject(s) - computer science , marathi , word (group theory) , natural language processing , artificial intelligence , feature (linguistics) , feature extraction , pattern recognition (psychology) , information retrieval , speech recognition , linguistics , philosophy

Writing which has been the most natural method of collecting, storing and transmitting information through the centuries, now serves not only for the communication among humans, but also for the communication of humans and machines. The free style handwriting recognition is difficult not only because of the great amount of variations involved in the shape of characters, but also because of the overlapping and the interconnection of the neighboring characters. In this paper we are presenting a structured based feature extraction for handwritten Marathi word. And rule based recognition was applied which has given 85 to 90 % recognition rate. General Terms: Pattern Recognition, OCR .

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