Uncertain Classification Decision for Handwritten Numerals Recognition
碩士 === 淡江大學 === 資訊管理學系 === 87 === A uncertain classification decision system for handwritten numerals recognition is proposed. A thinning algorithm is first used to obtain the skeleton of a numeral. A set of feature points are then detected. The skeleton can be decomposed into geometric primitives....
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
1999
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Online Access: | http://ndltd.ncl.edu.tw/handle/30689272295921333832 |