Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Segmentation Method for Touching Handwritten Japanese Characters
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
A Recognition Method for Touching Japanese Handwritten Characters
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Handwritten Chinese Address Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
| Hi-index | 0.00 |
This paper proposes a combination method of character recognizer (CR) and word recognizer (WR) for Japanese handwritten words. CR is composed of character segmentation, isolated character recognition, and postprocessing. On the other hand, WR recognizes word images holistically based on a given word lexicon. These methods have been used as key modules in handwritten address recognition but have not been compared quantitatively up to now. In this paper, CR and WR are first empirically compared with each other using synthesized words generated from character images. Based on the comparison, a combination method is then proposed. Experimental results show that the combination approach can achieve better recognition performance than the other two methods