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Recognition of isolated handwritten Kannada vowels

Author(s): Sangame S.K. | Ramteke R.J. | Rajkumar Benne

Journal: Advances in Computational Research
ISSN 0975-3273

Volume: 1;
Issue: 2;
Start page: 52;
Date: 2009;
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Keywords: OCR | Indian Language | Kannada Vowels | Moment invariants

This paper presents unconstrained handwritten Kannada vowels recognition based upon invariantmoments. The proposed system extracts Invariant moments feature from zoned images. A Euclidiandistance criterion and K-NN classifier is used to classify the handwritten Kannada vowels. A total 1625image are considered for experimentation and overall accuracy found to be 85.53%. The novelty of theproposed method is independent of size, slant, orientation, and translation in handwritten characters.

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