The Investigation on Multimodal Biometric Recognition
AiLi Geng, Liyang Liu
Available Online July 2015.
- https://doi.org/10.2991/icismme-15.2015.22How to use a DOI?
- recognition systems; fingerprint and iris biometry; recognition rate; multimodal biometric systems
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - AiLi Geng AU - Liyang Liu PY - 2015/07 DA - 2015/07 TI - The Investigation on Multimodal Biometric Recognition BT - 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 - https://doi.org/10.2991/icismme-15.2015.22 ID - Geng2015/07 ER -