NDLI: Novel biometric features fusion method based on possibility theory

Content Provider	IEEE Xplore Digital Library
Author	Guesmi, H. Trichili, H. Alimi, A.M. Solaiman, B.
Copyright Year	2015
Description	Author affiliation: Dept. of Image & Inf. Process. (ITI), Telecom-Bretagne, Brest, France (Solaiman, B.) \|\| REGIM: Res. Groups on Intell. Machines, Nat. Eng. Sch. of Sfax, Sfax, Tunisia (Guesmi, H.; Trichili, H.; Alimi, A.M.)
Abstract	In this paper, we propose a novel biometric modalities fusion method based on possibility theory. We have integrated this method in a bimodal biometric system. This biometric system is based on the fingerprint and the iris modalities to identify a person. The process of this method consists of two main phases: the features selection phase, and the fusion phase. In the first phase, we select the most relevant features by a proposed selection method based on the genetic algorithm and the possibility theory. Then, in the second phase, the selected features of different biometric modalities are fused by the novel proposed fusion method based on the possibility theory. An experimental evaluation of the bimodal biometric system which used the proposed fusion method shows the good performance of the possibility reasoning in the biometric features fusion.
Starting Page	418
Ending Page	425
File Size	1002778
Page Count	8
File Format	PDF
e-ISBN	9781467372909
DOI	10.1109/ICCI-CC.2015.7259419
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Image segmentation Active contours Biological system modeling Feature extraction Databases Phase locked loops person identification fusion method bimodal biometric system possibility theory iris fingerprint features level
Content Type	Text
Resource Type	Article

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