An efficient method for on-line Vietnamese handwritten character recognition
De Cao Tran · 2012
This paper deals with the problem of recognizing Vietnamese handwritten characters. Vietnamese is an accented writing language. Accented characters increase the number of classes to be recognized, which causes declining in the performance of powerful classifier such as SVM. To overcome this challenge, an accented character is segmented into two parts: the root character or letter and the accent. They are recognized separately, and then combined to build the accented character. This approach avoids increasing the number of classes to be considered. Therefore, the correct recognition rate can be improved and the response time can be reduced.