Off-line Chinese signature verification
Jun Lin, Jie-Gu Li · 2002
In this paper, a set of shape features which was based on the special characteristics of Chinese signatures was proposed for off-line Chinese signature verification. Another set of high-pressure features was also developed to extract timing and dynamic information indirectly from the signature image. A database of 100 genuine signatures and 50 simple forgeries was used to investigate the effectiveness of these two sets. Though shape features and high-pressure features had an error rate of 6.5% and 20.0% respectively, the collective use of these two sets reduced the error rate of simple forgery verification to 2.5%. It was concluded that combined use of static and dynamic information is an effective way for off-line Chinese signature verification.