DocumentCode :
1640862
Title :
On-Line Signature Verification: Directional Analysis of a Signature Using Weighted Relative Angle Partitions for Exploitation of Inter-Feature Dependencies
Author :
Ibrahim, Muhammad Talal ; Kyan, Matthew ; Khan, M. Aurangzeb ; Alimgeer, Khurram Saleem ; Guan, Ling
Author_Institution :
Ryerson Multimedia Res. Lab., Ryerson Univ., Toronto, ON, Canada
fYear :
2009
Firstpage :
41
Lastpage :
45
Abstract :
In this paper, we propose a new directional analysis tool for On-line signatures that decomposes the given input signature into directional bands on the basis of relative angles. Our directional analysis tool takes the independent trajectories (horizontal and vertical) as an input and then decomposes them into directional bands on the basis of relative angles. We have used both user-dependent and user-independent thresholds for selecting an optimal number of partitions for each signer. By decomposing signature trajectories based upon relative angles of an individualpsilas signature, the resulting process can be thought of as one that exploits inter-feature dependencies . In the verification phase, distances of each partitioned trajectory of a test signature are calculated against a similarly partitioned template trajectory for a known signer. Each partition is then weighted based on its quality and quantity. Experimental results demonstrate the superiority of our approach to On-line signature verification in comparison with other techniques.
Keywords :
biometrics (access control); handwriting recognition; directional analysis tool; directional band; independent trajectory; inter feature dependencies exploitation; online signature verification; signature directional analysis; user dependent threshold; user independent threshold; weighted relative angle partition; Biometrics; Databases; Error analysis; Forgery; Handwriting recognition; Information analysis; Information technology; Shape; Testing; Text analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.113
Filename :
5277797
Link To Document :
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