Paper
1 February 1992 Simple sequentially designed rule-based alphanumerics recognition algorithm for OCR document processing using a thinning process
Young Kug Ham, Chang-Bum Lee, Woo-Sung Kim, Sang Yoon Doh, Rae-Hong Park, Sang-Jung Kim
Author Affiliations +
Abstract
A simple method to recognize the printed alphanumerics is discussed. The proposed method is a simple rule-based structural method to recognize printed alphanumerics of image scanner data based on the thinning operation. This paper also presents major achievement made toward the development of a fast hierarchical recognition scheme for the printed and handwritten facsimile data. The conventional thinning techniques give good results for high-resolution image scanner data, but they suffer drawbacks for low-resolution data. Our scheme recognizes 55 characters per second on the IBM PC/386 environment and the recognition rate is 98%.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Young Kug Ham, Chang-Bum Lee, Woo-Sung Kim, Sang Yoon Doh, Rae-Hong Park, and Sang-Jung Kim "Simple sequentially designed rule-based alphanumerics recognition algorithm for OCR document processing using a thinning process", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); https://doi.org/10.1117/12.57052
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Computing systems

Image segmentation

Optical character recognition

Detection and tracking algorithms

Computer vision technology

Scanners

Robot vision

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