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Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 16
Year of Publication: 2012
Ola M. Aly
Houda M. Onsi
Gouda I. Salama
Tarek A. Mahmoud

Ola M Aly, Houda M Onsi, Gouda I Salama and Tarek A Mahmoud. Article: Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle. International Journal of Computer Applications 57(16):1-6, November 2012. Full text available. BibTeX

	author = {Ola M. Aly and Houda M. Onsi and Gouda I. Salama and Tarek A. Mahmoud},
	title = {Article: Multimodal Biometric System using Iris, Palmprint and Finger-Knuckle},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {57},
	number = {16},
	pages = {1-6},
	month = {November},
	note = {Full text available}


Most real-life biometric systems are still unimodal. Unimodal biometric systems perform person recognition based on a single source of biometric information. Such systems are often affected by some problems such as noisy sensor data, nonuniversality and spoof attacks. Multibiometrics overcomes these problems. Multibiometric systems represent the fusion of two or more unimodal biometric systems. Such systems are expected to be more reliable due to the presence of multiple independent pieces of evidence. In this paper, we present a multibiometric recognition system using three types of biometrics Iris, Palmprint and Finger_Knuckle Print. The fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate with total Equal Error Rate EER zero percent.


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