State Machine Induction with Positive and Negative Training for Thai Character Recognition

摘要：

One problem of generating a model to recognize any string is how to generate one that is generalized enough to accept strings with similar patterns and, at the same time, is specific enough to reject the non-target strings. This research focus on generating a model in the form of a state machine to recognize strings derived from the direction information of characters images. The state machine induction process has two steps. The first step is to generate the machine from the strings of each target character (Positive Training), and the second step is to adjust the machine to reject any other string (Negative Training). This state machine induction method that automatically learns from strings can be applied with other string patterns recognition apart from characters.

作者: Boontee Kruatrachue Nattachat Pantrakarn Kritawan Siriboon

作者单位: The Department of Computer Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok, Thailand 10520

会议类型: 国际会议

会议名称: 2007年通信、电路与系统国际会议(2007 International Conference on Communications,Circuits and Systems Proceedings)

会议地点: 日本福冈

会议语种:英文

在线出版日期: 2007-07-11（万方平台首次上网日期，不代表论文的发表时间）