Title :
Video-based handwritten character recognition
Author :
Tang, Xiaoou ; Lin, Feng
Author_Institution :
Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong
Abstract :
In this paper, we propose a robust stroke-tracing algorithm for a video-based handwritten Chinese character recognition system. By using several error correction techniques, the algorithm works effectively against various shadow and noise problems for video-based stroke-tracing of complex Chinese characters. The stroke temporal information similar to an on-line OCR system is accurately extracted.
Keywords :
Character recognition; Classification algorithms; Image recognition; Integrated optics; Optical computing; Optical imaging;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745471
