Paper Info
Title
Velocity-Image Model for Online Signature Verification
Abstract
In general, online signature capturing devices provide outputs in the form of shape and velocity signals. In the past, strokes have been extracted while tracking velocity signal minimas. However, the resulting strokes are larger and complicated in shape and thus make the subsequent job of generating a discriminative template difficult. We propose a new stroke-based algorithm that splits velocity signal into various bands. Based on these bands, strokes are extracted which are smaller and more simpler in nature. Training of our proposed system revealed that low- and high-velocity bands of the signal are unstable, whereas the medium-velocity band can be used for discrimination purposes. Euclidean distances of strokes extracted on the basis of medium velocity band are used for verification purpose. The experiments conducted show improvement in discriminative capability of the proposed stroke-based system
Year
DOI
Venue
2006
10.1109/TIP.2006.877517
IEEE Transactions on Image Processing
Keywords
Field
DocType
image processing,handwriting recognition
Signal processing,Detection theory,Computer science,Image processing,Handwriting recognition,Artificial intelligence,Discriminative model,Computer vision,Pattern recognition,Euclidean distance,Algorithm,Feature extraction,Linear discriminant analysis
Journal
Volume
Issue
ISSN
15
11
1057-7149
Citations 
PageRank 
References 
17
0.96
13
Authors
3
Name
Order
Citations
PageRank
Mohammad A. U. Khan1695.97
M. Khalid Khan2706.92
M. Aurangzeb Khan3170.96