Paper
1 November 1989 The Region And Recognition-Based Segmentation Method Used For Text In Mixed Chinese And English Characters
Yu Ping Lan, Bor Shenn Jeng, Sheng Hua Lu, Bing Shan Chien, Ming Wen Chang
Author Affiliations +
Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970142
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
Traditional methods for character segmentation are suitable only for some special cases, such as text with fixed pitches and sizes or text with overlapped, inclined or touched characters. We suggest a method which combines the advantages of both region-based and recognition-based methods to process texts which are composed of mixed English and Chinese characters. The method could distinguish different kinds of characters and would know whether they are overlapped, inclined, touched or not.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yu Ping Lan, Bor Shenn Jeng, Sheng Hua Lu, Bing Shan Chien, and Ming Wen Chang "The Region And Recognition-Based Segmentation Method Used For Text In Mixed Chinese And English Characters", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970142
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Data storage

Image processing

Optical character recognition

Data analysis

Visual communications

Binary data

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