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.
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Lakshmi, C.V., Singh, S., Jain, R., Patvardhan, C. (2009). A Novel Approach to Skeletonization for Multi-font OCR Applications. In: Chaudhury, S., Mitra, S., Murthy, C.A., Sastry, P.S., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2009. Lecture Notes in Computer Science, vol 5909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11164-8_64
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DOI: https://doi.org/10.1007/978-3-642-11164-8_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11163-1
Online ISBN: 978-3-642-11164-8
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