The Investigation on Multimodal Biometric Recognition

DOI

10.2991/icismme-15.2015.22How to use a DOI?

Keywords

recognition systems; fingerprint and iris biometry; recognition rate; multimodal biometric systems

Abstract

Biometrics is used to identify individual in groups by their characteristics, such as fingerprint, face, iris, voice and behavioral characteristics like hand written signature and keystroke.Normally, a majority of biometrics recognition systems adopt methods by using unique feature to discriminate different individual from groups. But there is some forgery, subjective modifications like making up exiting as usual. A multimodal biometric recognition systemusing multiple biometrics to identify is proposed. In addition, it can support better Equal Error Rate (EER), False Acceptance Rate (FAR) and False Rejection Rate (FRR) by combining two or more physical or behavioral features. With lots of approached have been proposed, experts also pay much attention to the methods mentioned in recent years. The objective of this paper is to support a survey of multimodal biometric recognition system and approach using face, fingerprint recognition and enhanced iris characters that commonly used recently.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - AiLi Geng
AU  - Liyang Liu
PY  - 2015/07
DA  - 2015/07
TI  - The Investigation on Multimodal Biometric Recognition
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 109
EP  - 112
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.22
DO  - 10.2991/icismme-15.2015.22
ID  - Geng2015/07
ER  -