A Novel Approach to Skeletonization for Multi-font OCR Applications
Identifieur interne : 000A34 ( Main/Merge ); précédent : 000A33; suivant : 000A35A Novel Approach to Skeletonization for Multi-font OCR Applications
Auteurs : Vasantha Lakshmi ; Sarika Singh ; Ritu Jain ; C. PatvardhanSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: A novel approach to generate skeletons of binary patterns that has a wide variety of applications including multi-font OCR is proposed in this paper. The proposed algorithm ensures connectedness of the pattern and minimizes loss of information while capturing the essential shape characteristics. Computational tests on printed Telugu characters show that the algorithm is useful in getting a generalized form of the character symbols on the common multiple dissimilar fonts.
Url:
DOI: 10.1007/978-3-642-11164-8_64
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<front><div type="abstract" xml:lang="en">Abstract: A novel approach to generate skeletons of binary patterns that has a wide variety of applications including multi-font OCR is proposed in this paper. The proposed algorithm ensures connectedness of the pattern and minimizes loss of information while capturing the essential shape characteristics. Computational tests on printed Telugu characters show that the algorithm is useful in getting a generalized form of the character symbols on the common multiple dissimilar fonts.</div>
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