A novel vision based finger-writing character recognition system

作者：Jin Lianwen^*; Yang Duanduan; Zhen Li Xin; Huang Jian Cheng

来源：18th International Conference on Pattern Recognition (ICPR 2006), Hong Kong, 2006-08-20 To 2006-08-24.

DOI：10.1109/ICPR.2006.145

• Feature matching
• Finger writing character recognition system (FWCRS)

A new vision based finger writing character recognition system (FWCRS) is proposed in this paper. The FWCRS allows people to write characters virtually just using his finger-tip (we call this 'fingerwriting'). The trajectories of the finger-tip are tracked and reconstructed as a kind of inkless character pattern and finally recognized by a classifier. In this paper, a simple but effective background model is built for the FWCRS to segment human finger from cluttered background. A robust fingertip detection algorithm based on feature matching is presented The finger writing character is finally recognized by a DTW classifier. Experiments show that the FWCRS can recognize finger-writing uppercase & lowercause English characters with the accuracy of 95.6%, 98.5% respectively.

• 出版日期2006
• 单位华南理工大学