DocumentCode
304703
Title
Off-line Chinese signature verification
Author
Lin, Jun ; Li, Jie-gu
Author_Institution
Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
205
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560725
Filename
560725
Link To Document