AUTOMATIC EVALUATION OF HANDWRITING QUALITIES FOR HANDWRITTEN HANGUL DATABASE KU-1

Currently the state of the art in character recognition has advanced from the use of primitive schemes for the recognition of printed numerals to the application of sophisticated techniques for the recognition of handprinted characters and symbols. However the problem of handwritten Hangul character recognition is a big challenge to researchers because of the wide varieties of writing styles. Also, the shape of handwritten Hangul characters can vary in such propositions that the recognition rate greatly depends on character qualities. Therefore, developing an automatic method for evaluating the qualities of handwritten Hangul characters is very effective for improving the performance of handwritten Hangul recognition algorithm. In this paper, an automatic method for evaluating qualities of the handwritten Hangul database KU-1 is proposed. In order to verify the performance of the proposed method, an evaluation with the KU-1 database has been performed. The experimental results reveal that the proposed method is a valuable tool for evaluating the qualities of handwritten Hangul characters objectively and automatically in accordance with the human criteria.