Dynamic stroke information analysis for video-based handwritten Chinese character recognition

Video-based handwritten character recognition (VCR) system is a new type of character recognition system with many unique advantages over online character recognition system. Its main problem is to effectively extract stroke dynamic information from video data for character recognition. We propose a new stroke extraction algorithm through dynamic stroke information analysis for a VCR system. The experimental results on over 3000 video character sequences show that our system can extract the Chinese character stroke dynamic information similar to an online system.