Feature-preserving thinning algorithm for optical character recognition

Hsin-Chia Fu; Ting-Shan Cheng; Cheng-Chin Chiang; Shing-Ming Roan

doi:10.1117/12.208652

1 July 1995 Feature-preserving thinning algorithm for optical character recognition

Hsin-Chia Fu, Ting-Shan Cheng, Cheng-Chin Chiang, Shing-Ming Roan

Author Affiliations +

Journal of Electronic Imaging, Vol. 4, Issue 3, (July 1995). https://doi.org/10.1117/12.208652

Abstract

We propose an improved thinning algorithm. Basically, the algorithm uses a 3×3 window to accommodate an eight-neighbor skeleton in each thinning iteration. This algorithm overcomes many thinning problems, such as Y-shaped distortions, spiky skeletons, and skeleton shortening, and thus preserves precise features of digital character patterns. By using this thinning algorithm, better structural features of a character pattern can be provided to an optical character recognition system, such that accurate recognition results can be achieved.

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Hsin-Chia Fu, Ting-Shan Cheng, Cheng-Chin Chiang, and Shing-Ming Roan "Feature-preserving thinning algorithm for optical character recognition," Journal of Electronic Imaging 4(3), (1 July 1995). https://doi.org/10.1117/12.208652

Published: 1 July 1995

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