By Topic

The interpersonal and intrapersonal variability influences on off-line signature verification using HMM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
E. J. R. Justino ; Pontificia Univ. Catolica do Parana, Curitiba, Brazil ; F. Bortolozzi ; R. Sabourin

Off-line signature verification rests on the hypothesis that each writer has similarity among signature samples, with small distortion and scale variability. This kind of distortion represents intrapersonal variability. This paper reports interpersonal and intrapersonal variability influences in a software approach based on a hidden Markov model (HMM) classifier. The experiments have shown error rate variability considering different forgery types, random, simple and skilled. The mathematical approach and resulting software also report considerations in a real application problem.

Published in:

Computer Graphics and Image Processing, 2002. Proceedings. XV Brazilian Symposium on

Date of Conference: