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

Optical character recognition

Computer architecture

Computer science

Computing systems

Electronic imaging

Information science

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