DocumentCode
2599130
Title
A New Off-line Signature Verification Method based on Graph
Author
Chen, Siyuan ; Srihari, Sargur
Author_Institution
Center of Excellence for Document Anal. & Recognition, Buffalo Univ., NY
Volume
2
fYear
0
fDate
0-0 0
Firstpage
869
Lastpage
872
Abstract
A graph matching approach to off-line signature verification is presented. Each of the signature images being compared is represented as a point set, which includes the local extremas of various types along the signature contours. Graph matching involves a deformation measure and a mapping function between point sets. Multiresolution signature features, as computed by gradient, structural and concavity features are used to measure local correspondence. Deformation and similarity scores are combined to make the final decision. The method performs better than previous off-line methods and is comparable to that of on-line systems
Keywords
graph theory; handwriting recognition; image matching; image resolution; concavity features; deformation measure; gradient features; graph matching; mapping function; multiresolution signature features; offline signature verification; signature contours; signature images; structural features; Algorithm design and analysis; Biometrics; Forensics; Handwriting recognition; Image databases; Image edge detection; Joining processes; Shape measurement; Spline; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.125
Filename
1699343
Link To Document