Name
Title | ||
|---|---|---|
Velocity and pressure-based partitions of horizontal and vertical trajectories for on-line signature verification |
Abstract | ||
|---|---|---|
In general, shape of an on-line signature is used as a single discriminating feature. Sometimes shape of signature is used alone for verification purposes and sometimes it is used in combination with some other dynamic features such as velocity, pressure and acceleration. The shape of an on-line signature is basically formed due to the wrist and fingers movements where the wrist movement is represented by the horizontal trajectory and the movement of the fingers is represented by vertical trajectory. As the on-line signature is formed due to the combination of two movements that are essentially independent of each other, it will be more effective to use them as two separate discriminating features. Based on this observation, we propose to use these trajectories in isolation by first decomposing the pressure and velocity profiles into two partitions and then extracting the underlying horizontal and vertical trajectories. So the overall process can be thought as the process which exploits the inter-feature dependencies by decomposing signature trajectories depending upon pressure and velocity information and performs verification on each partition separately. As a result, we are able to extract eight discriminating features and among them the most stable discriminating feature is used in verification process. Further Principal Component Analysis (PCA) has been proposed to make the signatures rotation invariant. Experimental results demonstrate superiority of our approach in on-line signature verification in comparison with other techniques. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.patcog.2010.02.011 | Pattern Recognition |
Keywords | Field | DocType |
dynamic feature,vertical trajectory,velocity information,overall process,verification purpose,decomposing signature,verification process,velocity profile,on-line signature verification,pressure-based partition,on-line signature,signal processing,principal component analysis | Signal processing,Horizontal and vertical,Pattern recognition,Acceleration,Invariant (mathematics),Artificial intelligence,Partition (number theory),Trajectory,Machine learning,Mathematics,Principal component analysis | Journal |
Volume | Issue | ISSN |
43 | 8 | Pattern Recognition |
Citations | PageRank | References |
18 | 0.64 | 9 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Talal Ibrahim | 1 | 57 | 7.33 |
| Muhammad Aurangzeb Khan | 2 | 55 | 6.92 |
| Khurram Saleem Alimgeer | 3 | 24 | 3.56 |
| M. Khalid Khan | 4 | 70 | 6.92 |
| Imtiaz A. Taj | 5 | 30 | 7.29 |
| Ling Guan | 6 | 82 | 9.90 |