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 on-line character recognition system. Its main problem is to effectively extract stroke dynamic information from video data for character recognition. In this paper, 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.

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Feng Lin, Xiaoou Tang
• Keywords: Character Recognition System, Computer Vision, Dynamic Stroke Information, Handwritten Character Recognition, ICCV 2003, Stroke Dynamic Information, Video Character Sequences