Title :
Dynamic stroke information analysis for video-based handwritten Chinese character recognition
Author :
Lin, Feng ; Tang, Xiaoou
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China
Abstract :
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.
Keywords :
feature extraction; handwritten character recognition; image recognition; natural languages; dynamic stroke information analysis; stroke extraction algorithm; video character sequences; video-based handwritten Chinese character recognition system; Cameras; Character recognition; Data mining; Handwriting recognition; Information analysis; Ink; Tracking; Video recording; Video sequences; Writing;
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
DOI :
10.1109/ICCV.2003.1238415
