This paper describes Fujitsu’s online handwritten character recognition (OLCR) technology and some application software that adopts this technology. Fujitsu’s Japanese OLCR has the highest level of performance among Japanese OLCRs and is based on two of our unique character recognition technologies: hybrid character recognition and bigram-based context processing. To realize more effective and ...

* 0-7803-7952-7/03/$17.00  2003 IEEE. Abstract This paper describes a kernel active handwriting model (K-AHM) and its application to handwritten Chinese character recognition. In the model, the kernel principal component analysis is applied to capture nonlinear variations caused by handwriting, and a fitness function on the basis of chamfer distance transform is introduced to search for the op...

Handwritten automatic character recognition has attracted many researchers all over the world to contribute automatic character recognition domain. Shape identification and feature extraction is very important part of any character recognition system and success of method is highly dependent on selection of features. However feature extraction is the most important step in defining the shape of...