For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Recognition of Thai Characters by Using Local Features
Pipat HIRANVANICHAKORN Takeshi AGUI Masayuki NAKAJIMA
IEICE TRANSACTIONS (1976-1990)
Publication Date: 1984/08/25
Print ISSN: 0000-0000
Type of Manuscript: PAPER
Category: Data Processing
Full Text: PDF>>
A recognition method of printed Thai characters by local information of contours is described. In the method, Freeman chain code and directional differences of contour tracing of characters are utilized for eliminating contour noises and extracting concavities and convexities of characters. Each arc is then segmented by points at which the arc bends. Several local features of arcs are extracted, and are used to detect a pair of the most similar arcs between a model and an input character. Finally, the similarity between each arc pair and the similarity between characters are calculated. Further, a model making, in which a single model is generated for each category by making use of feature values of characters belonging to the same category, is described. By applying the method to 69 categories (345 data) of 5050 dots of Thai characters rotated with five kinds of arbitrary angles, a very high recognition rate has been obtained.