Genetic approach to the normalization of distorted character images

Yuan Kai Wang, Kuo Chin Fan

Research output: Contribution to journalConference articlepeer-review

Abstract

Character normalization is to recover distortions happened in character images. There are two kinds of character distortions: local and global. Local distortion has been discussed in literature, but global distortion that is usually produced by geometric transformation is not formally invited. In this paper, a novel method for solving global character distortion problem is proposed. The global character distortion problem will be regarded as a constrained geometric transformation problem, and an adaptive optimization approach using genetic algorithms is proposed to solve the problem. Experiments on Chinese characters with six kinds of distortions show satisfactory results.

Original languageEnglish
Pages (from-to)1670-1675
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume3
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Systems, Man and Cybernetics. Part 3 (of 4) - Beijing, China
Duration: 14 Oct 199617 Oct 1996

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