Name
Abstract | ||
|---|---|---|
This paper presents a multi-matcher on-line signature verification system which fuses the verification scores in pen-position parameter and pen-movement angle parameter at decision level. Features of pen-position and pen-movement angle are extracted by the sub-band decomposition using the discrete wavelet transform (DWT). In the pen-position, high frequency sub-band signals are considered as individual features to enhance the difference between a genuine signature and its forgery. On the other hand, low frequency sub-band signals are utilized as the features for suppressing the intra-class variation in the pen-movement angle. Verification is achieved by adaptive signal processing using the extracted features. Verification scores in the pen-position and the pen-movement angle are integrated by using a weighted sum rule to make a total decision. Experimental results show that fusion of pen-position and pen-movement angle can improve verification performance. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ISCAS.2005.1465860 | ISCAS (6) |
Keywords | Field | DocType |
discrete wavelet transforms,feature extraction,handwriting recognition,pattern matching,DWT domain signature verification,decision rule,intra-class variation suppression,multimatcher on-line signature verification,pen parameter extraction,pen-movement angle verification score,pen-position parameter verification score,subband decomposition,weighted sum rule | Decision rule,Pattern recognition,Computer science,Handwriting recognition,Feature extraction,Adaptive filter,Discrete wavelet transform,Artificial intelligence,Biometrics,Fuse (electrical),Pattern matching | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-8834-8 | 4 |
PageRank | References | Authors |
0.58 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isao Nakanishi | 1 | 104 | 28.15 |
| Hiroyuki Sakamoto | 2 | 34 | 5.24 |
| Yoshio Itoh | 3 | 59 | 18.04 |
| Yutaka Fukui | 4 | 55 | 12.83 |