Title :
Creation and selection of most stable discriminating features for on-line signature verification
Author :
Ibrahim, Muhammad Talal ; Alimgeer, Khurram Saleem ; Khan, M. Aurangzeb ; Taj, Imtiaz A.
Author_Institution :
Center for Adv. Studies in Eng., Islamabad
Abstract :
In this paper, we propose a method for exploiting the dependence of four dynamic features (horizontal trajectory, vertical trajectory, pressure and velocity) upon angles of each sample point from the mean of the signature. We have achieved this purpose by decomposing each of these four dynamic features into two partitions. As a result we obtain eight discriminating features, out of which we have selected two most stable features on the basis of training signatures scatter on two dimensional dissimilarity space. These two most stable features are then employed for verification purpose. Result shows the promise of our proposed technique.
Keywords :
feature extraction; handwriting recognition; dynamic feature dependence; online signature verification; stable discriminating feature selection; Acceleration; Data acquisition; Databases; Fingers; Forgery; Handwriting recognition; Information technology; Scattering; Shape; Wrist; Signature verification; angles; dynamic features; feature selection; inter-feature dependencies;
Conference_Titel :
Machine Vision, 2007. ICMV 2007. International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4244-1624-0
Electronic_ISBN :
978-1-4244-1625-7
DOI :
10.1109/ICMV.2007.4469280