A multimodal biometric system based on fingerprint and signature recognition

Author

Kocharyan, Davit ; Khachaturyan, Vahe ; Sarukhanyan, Hakob

Author_Institution

Inst. for Inf. & Autom. Problems of NAS RA Yerevan, Yerevan, Armenia

fYear

2013

fDate

23-27 Sept. 2013

Firstpage

1

Lastpage

7

Abstract

In this paper, we propose a multimodal biometric system, based on fingerprint and signature recognition. Fingerprint recognition is the most popular physiological characteristic used to identify a person in biometric systems, because of feasibility, permanence, distinctiveness, reliability, accuracy, and acceptability. Signature recognition is the most popular behavioral characteristic used in biometric systems. Thus, we believe that the combination of these two methods will have a reliable and accurate result. We propose a weighted fusion scheme, which transforms the scores into a common range, assigned weights and combines them, giving the final fused score.

Keywords

fingerprint identification; image fusion; behavioral characteristic; fingerprint recognition; multimodal biometric system; physiological characteristic; signature recognition; weighted fusion scheme; Biometrics (access control); Feature extraction; Fingerprint recognition; Forgery; Training; Transforms; Vectors; Biometric systems; biometric fusion; discrete radon transform; fingerprint; minutiae; multimodal biometrics; signature;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technologies (CSIT), 2013

Conference_Location

Yerevan

Print_ISBN

978-1-4799-2460-8

Type

conf

DOI

10.1109/CSITechnol.2013.6710355

Filename

6710355