INTELLIGENT RADICAL-BASED ONLINE CHINESE CHARACTER-RECOGNITION SYSTEM

An intelligent radical-based on-line Chinese character recognition (OL CCR) system is proposed. We make use of the characteristic that most C hinese characters possess radicals and develop a radical-based preclas sification technique. In the procedure of recognizing radicals, potent ial candidate radicals are identified from an input character first an d then matched with radical templates. Based on the matched radicals, corresponding candidate characters with a smaller matching distance ar e thus identified. Postprocessing, which utilizes the information of t he first and last stable line segments, is incorporated to improve the recognition accuracy. Experiments are carried out to evaluate the per formance of the proposed OLCCR system and the average recognition rate is improved from 96.06 to 96.52% if only the first winner is selected and the average recognition time is shortened by about 44%. (C) 1996 Society of Photo-Optical Instrumentation Engineers.