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 :
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