Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-06-07
International Journal of Computer Science and Information Technology 2.3 (2010) 114-133
Computer Science
Computer Vision and Pattern Recognition
20 pages
Scientific paper
10.5121/ijcsit.2010.2309
The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed based on area of the connected components. The segmented image used for authentication consists of the region with large variations in the gray level values. The image region is split into quadtree components. The components with minimum variance are determined from the training samples. Hu moments are applied on the components. The summation of moment values corresponding to minimum variance components are provided as input vector to k-means and fuzzy kmeans classifiers. The best performance was obtained for MMU database consisting of 45 subjects. The number of subjects with zero False Rejection Rate [FRR] was 44 and number of subjects with zero False Acceptance Rate [FAR] was 45. This paper addresses the computational load reduction in off-line signature verification based on minimal features using k-means, fuzzy k-means, k-nn, fuzzy k-nn and novel average-max approaches. FRR of 8.13% and FAR of 10% was achieved using k-nn classifier. The signature is a biometric, where variations in a genuine case, is a natural expectation. In the genuine signature, certain parts of signature vary from one instance to another. The system aims to provide simple, fast and robust system using less number of features when compared to state of art works.
Radhika K. R.
Sheela S. V.
No associations
LandOfFree
Biometric Authentication using Nonparametric Methods does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Biometric Authentication using Nonparametric Methods, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Biometric Authentication using Nonparametric Methods will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-366698