Title :
State Machine Induction with Positive and Negative Training for Thai Character Recognition
Author :
Kruatrachue, Boontee ; Pantrakarn, Nattachat ; Siriboon, Kritawan
Author_Institution :
King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
Abstract :
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 character´s 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.
Keywords :
character recognition; finite state machines; Thai character recognition; negative training; positive training; state machine induction; Automatic control; Automatic generation control; Character generation; Character recognition; Doped fiber amplifiers; Hidden Markov models; Induction generators; Pattern recognition; Performance analysis;
Conference_Titel :
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location :
Kokura
Print_ISBN :
978-1-4244-1473-4
DOI :
10.1109/ICCCAS.2007.4348209