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Proceedings Paper

Image Recognition By Camera Machine With Circular Layer Code
Author(s): Yung-Lung Ma; Shyue-Yi JANG
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Paper Abstract

This paper uses a special approach to recognized the block pictures of Chinese characters by comparing their stochastic sectionalgrams which are obtained from original samples. In order to calculate the risk the absolute value of the difference between the image-occurr-ence probabilities of corresponding quanta in two sectionalgrams is summed. One of these two sectionalgrams is derived from the input pattern and the other from the prototype pattern. The input pattern recognition rate is inverse proportional to the value of the risk. The Markovian dynamic programming is used in this paper to check the risk. Further more, the circular layer code approach is used in the recognition system such that the recognition of input object is independent of the object's input direction. By following the different type of quanta expression, there are two Markovian dynamic programming algorithm presented in this paper to recognize the circular layer code pattern.

Paper Details

Date Published: 27 March 1987
PDF: 10 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937726
Show Author Affiliations
Yung-Lung Ma, National Taiwan University (Tawain)
Shyue-Yi JANG, National Taiwan University (Tawain)


Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)

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