Handwritten Character Recognition Using Improved Thinning Algorithm and Fuzzy EX-OR Operator.
碩士 === 中原大學 === 電子工程學系 === 84 === In this paper,an improved thinning algorithm and a fuzzy EX-OR operator are presented for handwritten character system. The thinning algorithm is improved the iterative thinning algorithm and parallel thinn...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
1996
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| Online Access: | http://ndltd.ncl.edu.tw/handle/04856118623126453330 |
| Summary: | 碩士 === 中原大學 === 電子工程學系 === 84 === In this paper,an improved thinning algorithm and a fuzzy EX-OR
operator are presented for handwritten character system. The
thinning algorithm is improved the iterative thinning algorithm
and parallel thinning algorithm. By using some 9x9 windows to
preserve necessary and essential structures. It is good with
respect to both connectivity and noise immunity. Futher it is
about two times faster than the iterative method. The results
show that the improved algorithm overcomes some of the
disadvantages found in traditional thinning algorithm. We
propose that a new operator classifier by using fuzzy logic
theory can be applied efficienty to complex classification
problems. The operator classifier hassimple calculation and can
reduce running times to obtain better calssify result. It has
good result to process the similar characters. The experiment
show that the proposed two methods are effective. We present
results from the U.S. Postal Services database. The recognition
rate is about 99.23% base on our handwritten system.
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