An Improved Multi-Biometric System for Authentication
Om Prakash Sharma1, Sivaramkumar P2

1Om Prakash Sharma, Assistant Professor to the School of IT, SRM University Sikkim.
2Sivaramkumar P, Assistant Professor in School of Information Technology, SRM University, Sikkim
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2231-2238 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B3217129219/2019©BEIESP | DOI: 10.35940/ijeat.B3217.129219
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Abstract: Biometrics is the new technology for calculating and measuring the body parts of a person. It is playing an important role in identifying an individual. It signifies a metrics related to person characteristics (physiological or behavioral). Biometric system may be based on single modal or multiple modals. Multimodal system also termed as multi-biometric system (hybrids two or more modals) are becoming popular. The idea behind the paper is to implement and improve the authentication processusing multiple trait for identifying a person. Here, the combination of Iris & Fingerprint based biometric model is presented. The relevant features (key-points) are extracted from these two traits in parallel and then they are passed through matching module. The key-points are extracted using Discrete Wavelet Transform (DWT) and Speeded-Up Robust Feature (SURF) descriptor and then passed to the matching (mapping) module where mapping is done using the Normalized Weighted Sum-Rule. The experimental result showed that the proposed multi-biometric model performs well showing clear variation in FAR and FRR against the existing models.
Keywords: Biometric, multimodal, fingerprint, iris, authentication, recognition.