Video-based handwritten character recognition

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.