NDLI: A multimodal biometric system based on fingerprint and signature recognition

Content Provider	IEEE Xplore Digital Library
Author	Kocharyan, D. Khachaturyan, V. Sarukhanyan, H.
Copyright Year	2013
Description	Author affiliation: Inst. for Inf. & Autom. Problems of NAS RA Yerevan, Yerevan, Armenia (Kocharyan, D.; Khachaturyan, V.; Sarukhanyan, H.)
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.
Starting Page	1
Ending Page	7
File Size	2154873
Page Count	7
File Format	PDF
ISBN	9781479924608
e-ISBN	9781479924615
DOI	10.1109/CSITechnol.2013.6710355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-23
Publisher Place	Armenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics (access control) signature Transforms Fingerprint recognition Vectors discrete radon transform Training minutiae fingerprint Feature extraction Forgery biometric fusion Biometric systems multimodal biometrics
Content Type	Text
Resource Type	Article

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