Multimodal biometric system combining fingerprint and iris at decision level

Subject Areas : Electronics Engineering

Fatemeh Keshavarzi ¹ , Kaveh Pashaei ² , Hossein Momenzadeh Haghighi ³

1 - Department of Information Technology Engineering, Bushehr branch, Islamic Azad University, Bushehr,Iran
2 - Department of Information Technology Engineering, Bushehr branch, Islamic Azad University, Bushehr,Iran
3 - Department of Information Technology Engineering, Bushehr branch, Islamic Azad University, Bushehr,Iran

Received: 2019-02-27 Accepted : 2019-07-05 Published : 2019-10-23

Keywords:

Abstract :

Mono-modal biometric systems, by using only a biometric feature to determine the identity of individuals, we will face some problems such as noisy data, low distinction biometric feature, unacceptable error rates and spoofs attacks. But by using multi-modal biometric systems, we will largely overcome these problems and increase the performance and reliability of biometric identification even more, because these systems in comparison with mono-modal biometric systems have more accuracy and greater security. In this regard, this study combines two common and widely used biometric trait fingerprint and iris at the level of decision-making by using the fuzzy logic method. Therefore we have used CASIA database for iris and FVC2004 database for the fingerprint. Results of tests and studies indicate that the proposed combination of biometric systems has more precision and reliability than mono-modal biometric systems. In the fusion system, the error Type I (FAR) and Type II (FRR), respectively are 0.3% and 1.2%.

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