DocumentCode
2765518
Title
Comparative analysis of off-line signature recognition
Author
Dubey, Richa ; Agrawal, Deepak
Author_Institution
Electron. & Commun. Deptt, MANIT, Bhopal, India
fYear
2012
fDate
19-20 Oct. 2012
Firstpage
1
Lastpage
6
Abstract
Biometrics (or biometric authentication) assigns to the confirmation of humans by their biological features. Computer science, biometrics to be specific, is used as an aspect of determination and access control. It is also used to determine individuals in groups that are under examination. Handwriting is one of the most widely used biometric systems for authentication of person as well as document. Online and offline signature is existing in person identification and authentication problems. Offline signature categorizes the signature into two classes: genuine and forged. In this paper, we discuss various features of offline signature recognition and verification process. We review and compare existing techniques, their results and methods of feature extraction.
Keywords
feature extraction; handwriting recognition; access control; biometric systems; computer science; feature extraction; offline signature recognition; online signature; Biometrics (access control); Feature extraction; Forgery; Hidden Markov models; Transforms; Offline signature; biometric; feature extraction; security; verification;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
Conference_Location
Mumbai
Print_ISBN
978-1-4577-2077-2
Type
conf
DOI
10.1109/ICCICT.2012.6398093
Filename
6398093
Link To Document