Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
A Constrained Approach to Multifont Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Handwritten Cursive Arabic Characters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chinese Character Recognition - Comparison of Classification Methodologies
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
A two-level matching scheme for speedy and accurate palmprint identification
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
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Chinese characters are mapped from the spatial domain into the parametric one for stroke extraction, and the dynamic programming matching (DP matching) algorithm is applied to recognize Chinese characters. This method overcomes not only the problem of noise sensitivity in the local feature approach, but also the problem of being time consuming in the global feature approach. Results are presented for two experiments conducted for a database called ETL8, which contains 881 Chinese characters and 160 variations for each one, to prove the usefulness of the MHT and DP matching methods. An actual recognition rate of 94.5% was obtained for 351 Chinese characters in the ETL8.