Title :
Off-line Chinese signature verification
Author :
Lin, Jun ; Li, Jie-gu
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China
Abstract :
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
Keywords :
error statistics; feature extraction; handwriting recognition; image classification; dynamic information; error rate; forgery verification; high-pressure feature; off-line Chinese signature verification; shape features; timing information; Error analysis; Forgery; Gravity; Handwriting recognition; Image databases; Image processing; Pattern recognition; Shape; Spatial databases; Timing;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560725