1 November 1989 Flexible Segmentation and Matching for Optical Character Recognition
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Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970140
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
This paper presents a flexible image segmentation and feature matching method based on dynamic programming techniques to resolve the spatial deformation of Optical Character Recognition (OCR) problems. A 2-subcycle thinning algorithm is presented to extract a character skeleton which is 8-connected. In addition, two feature extraction methods are devised, which will extract the projected 1-D profiles of stroke distributions and 2-D background distribution respectively. The performance of the scheme is superior to that of an equally divided segmentation scheme.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
San-Wei Sun, San-Wei Sun, S. Y. Kung, S. Y. Kung, } "Flexible Segmentation and Matching for Optical Character Recognition", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970140; https://doi.org/10.1117/12.970140
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