Nong-liang SUN(孙农亮), Ming-da LI(李明达), Xiao BAI(白霄), Fei MENG（孟霏）
College of Information and Electrical Engineering, Shandong Unive rsity of Science and Technology, Qingdao 266510, China
Abstract-Moment invariants firstly introduced by M.K Hu in 19 62, has some shortcomings. After counting a large number of statistical distribu tion information of Chinese characters, the authors put forward the concept of i nformation moments and demonstrate its invariance to translation, rotation and s caling. Also they perform the experiment in which information moments compared w ith moment invariants for the effects of similar Chinese characters and font rec ognition. At last they show the recognition rate of 88% by information moments, with 70% by moment invariants.
Key words-information moment; Chinese character recogni tion; moment invariants
Manuscript Number: 1674-8042(2011)02-0148-04
dio: 10.3969/j.issn.1674-8042.2011.02.12
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