Abstract
Character normalization recovers distortions occurring in character images. There are two kinds of character distortions: local and global. Local distortion has been discussed in the literature, but the global distortion that is usually produced by geometric transformation is not usually considered. In this paper, a novel method for solving the global character distortion problem is proposed. The global character distortion problem is 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
