A Statistical Approach to Sinhala Handwriting Recognition

S. Hewavitharana and Dr. N.D. Kodikara

ABSTRACT

Much of the research on handwriting recognition had been concentrated on Latin script, which is used by languages such as English. Little or no attention had been given to Indic language scripts such as Devanagari, Tamil and Sinhala. This paper describes a system to recognize handwritten Sinhala characters, which uses a statistical classification approach. First, the input characters are pre-classified into one of six groups of character classes considering some structural properties of the text lines. A statistical classifier, based on interval estimation, is used for the final recognition process. Results have shown 74% recognition accuracy for the first choice and 94.4% recognition accuracy for the top three choices.

Subscribe to ICTer News