A Multimodal Biometric Recognition System based on Fusion of Palmprint and Fingerprint

Mitul D Dhameliya; Jitendra P Chaudhari

doi:https://doi.org/10.14445/22315381/IJETT-V4I5P115

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Volume 4 | Issue 5 | Year 2013 | Article Id. IJETT-V4I5P115 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I5P115

A Multimodal Biometric Recognition System based on Fusion of Palmprint and Fingerprint

Mitul D Dhameliya , Jitendra P Chaudhari

Citation :

Mitul D Dhameliya , Jitendra P Chaudhari, "A Multimodal Biometric Recognition System based on Fusion of Palmprint and Fingerprint," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 5, pp. 1908-1911, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I5P115

Abstract

Basic aim of a biometric system is automatically discriminate between subjects as well as protect data. It also protects resources access from unauthorized users. We develop a biometric identification system that represents a valid alternative to conventional approaches. In biometric system physical or behavioral traits are used. A multimodal biometri c identification system aims to fuse two or more physical or behavioral traits. Multimodal biometric system is used in order to improve the accuracy. Multimodal biometric identification system based on palmprint& fingerprint trait is proposed. Typically in a multimodal biometric system each biometric trait processes its information independently. The processed information is combined using an appropriate fusion scheme. Successively, the comparison of data base template and the input data is done with the he lp of Euclidean - distance matching algorithm. If the templates are matched we can allow the person to access the system. The experimental results demonstrated that the proposed multimodal biometric system achieves a recognition accuracy of 87% Multimodal bi ometric system provides optimal False Acceptance Rate (FAR) & False Rejection Rate (FRR), thus improving system accuracy & reliability.

Keywords

Biometrics, False Acceptance Rate (FAR), False Rejection Rate(FRR) ,KNN , Palmprint Fingerprint trait, Fu sion technique, Identification system, Multimodal.

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