SHASHI KUMAR D R, K B RAJA, R. K CHHOTARAY and SABYASACHI PATTANAIK (2010) Off-line Signature Verification Based on Fusion of Grid and Global Features Using Neural Networks

getCITED

Home Search Add Content Reports Help

Edit Publication | Edit Contributors | Delete Publication | Edit References | Edit Citations

Add to Bookstack | Show Bookstack | Change Bookstack

Off-line Signature Verification Based on Fusion of Grid and Global Features Using Neural Networks

Post a Comment

CONTRIBUTORS:

	Author:	SHASHI KUMAR D R
	Author:	K B RAJA
	Author:	R. K CHHOTARAY
	Author:	SABYASACHI PATTANAIK

JOURNAL:

International Journal of Engineering Science and Technology (IJEST), 2(12), 7035 - 7044.

YEAR:

2010

PUB TYPE:

Journal Article

SUBJECT(S):

Signature, Neural Network, FAR, FRR, Grid, Global, Feature Extraction.

DISCIPLINE:

Engineering and Applied Sciences

HTTP:

http://www.ijest.info/docs/IJEST10-02-12-135.pdf

LANGUAGE:

English

PUB ID:

103-490-509 (Last edited on 2011/07/01 04:26:19 GMT-6)

SPONSOR(S):

ABSTRACT:
Signature is widely used and developed area of research for personal verification and authentication. In this paper Off-line Signature Verification Based on Fusion of Grid and Global Features Using Neural Networks (SVFGNN) is presented. The global and grid features are fused to generate set of features for the verification of signature. The test signature is compared with data base signatures based on the set of features and match/non match of signatures is decided with the help of Neural Network. The performance analysis is conducted on random, unskilled and skilled signature forgeries along with genuine signatures. It is observed that FAR and FRR results are improved in the proposed method compared to the existing algorithm.

STATISTICS

Click on # to view
Citations		0
References		0
Comments		0
Quality		0/0.00
Interest		0/0.00
View(er)s		1/113

Quality
	N/A
High
	7
	6
	5
	4
	3
	2
	1
Low

Interest
	N/A
High
	7
	6
	5
	4
	3
	2
	1
Low

Prev | Next