A new approach for off-line handwritten Chinese character recognition using self-adaptive HMM
Jie Li, Jiaxin Wang, Yannon Zhao, Zehong Yang · 2004
Research on off-line handwritten Chinese character recognition is an important, yet difficult field of artificial intelligence and pattern recognition. In this paper, a kind of pseudo 2D HMM is established to solve the problem. This HMM has a special topology and is a powerful tool for modeling the Chinese handwriting. Furthermore, a self-adaptive design method is applied to this HMM and proved to be able to bring better performance to the HMM classifier. Finally, recognition experiments show that the proposed HMM has a high correct rate of 95.9%.