Share Email Print

Journal of Electronic Imaging

Feature-preserving thinning algorithm for optical character recognition
Author(s): Hsin-Chia Fu; Ting-Shan Cheng; Cheng-Chin Chiang; Shing-Ming Roan
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper 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.

Paper Details

Date Published: 1 July 1995
PDF: 7 pages
J. Electron. Imag. 4(3) doi: 10.1117/12.208652
Published in: Journal of Electronic Imaging Volume 4, Issue 3
Show Author Affiliations
Hsin-Chia Fu, National Chiao Tung Univ. (Taiwan)
Ting-Shan Cheng, National Chiao Tung Univ. (Taiwan)
Cheng-Chin Chiang, National Chiao Tung Univ. (Taiwan)
Shing-Ming Roan, National Chiao Tung Univ. (Taiwan)

© SPIE. Terms of Use
Back to Top