Flexible Segmentation and Matching for Optical Character Recognition

San-Wei Sun; S. Y. Kung

doi:10.1117/12.970140

1 November 1989 Flexible Segmentation and Matching for Optical Character Recognition

San-Wei Sun, S. Y. Kung

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.

Citation Download Citation

San-Wei Sun and S. Y. Kung "Flexible Segmentation and Matching for Optical Character Recognition", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970140

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