DocumentCode :
1704545
Title :
A Novel Personal Entropy Measure confronted with Online Signature Verification Systems´ Performance
Author :
Houmani, Nesma ; Garcia-Salicetti, Sonia ; Dorizzi, Bernadette
Author_Institution :
Dept EPH, TELECOM & Manage. SudParis, Evry
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we study the relationship between a novel personal entropy measure for online signatures and the performance of several state-of-the-art classifiers. The entropy measure is based on local density estimation by a hidden Markov model. We show that there is a clear relationship between such entropy measure of a person´s signature and the behavior of the classifier. We carry out this study on a dynamic time warping classifier, a Gaussian mixture model and a hidden Markov model as well. It is worth noticing that the HMM classifier differs from the HMM used for entropy computation. Signatures were split into three categories according to their entropy value. These categories are coherent across four different databases of around 100 persons each: BIOMET, MCYT-100, BioSecure data subsets DS2 and DS3. We studied the impact of such categories on classifier´s performance with a larger signature data subset of DS3, of 430 persons.
Keywords :
Gaussian processes; biometrics (access control); handwriting recognition; hidden Markov models; image classification; BIOMET; BioSecure data; Gaussian mixture model; HMM classifier; MCYT-100; dynamic time warping classifier; hidden Markov model; local density estimation; online signature verification systems; personal entropy measure; Biometrics; Databases; Density measurement; Electronic mail; Entropy; Fingerprint recognition; Handwriting recognition; Hidden Markov models; Humans; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4244-2729-1
Electronic_ISBN :
978-1-4244-2730-7
Type :
conf
DOI :
10.1109/BTAS.2008.4699362
Filename :
4699362
Link To Document :
بازگشت