Computer Science – Artificial Intelligence
Scientific paper
2011-03-07
International Journal on Soft Computing ( IJSC ), Vol.2, No.1, February 2011
Computer Science
Artificial Intelligence
10 pages, 6 figures
Scientific paper
Signature used as a biometric is implemented in various systems as well as every signature signed by each person is distinct at the same time. So, it is very important to have a computerized signature verification system. In offline signature verification system dynamic features are not available obviously, but one can use a signature as an image and apply image processing techniques to make an effective offline signature verification system. Author proposes a intelligent network used directional feature and energy density both as inputs to the same network and classifies the signature. Neural network is used as a classifier for this system. The results are compared with both the very basic energy density method and a simple directional feature method of offline signature verification system and this proposed new network is found very effective as compared to the above two methods, specially for less number of training samples, which can be implemented practically.
Singh Pratibha
Tomar Minal
No associations
LandOfFree
A Directional Feature with Energy based Offline Signature Verification Network 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 A Directional Feature with Energy based Offline Signature Verification Network, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Directional Feature with Energy based Offline Signature Verification Network will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-606667