Title :
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
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;
Conference_Titel :
Computer Science and Information Technologies (CSIT), 2013
Conference_Location :
Yerevan
Print_ISBN :
978-1-4799-2460-8
DOI :
10.1109/CSITechnol.2013.6710355
