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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Abhijit Shete
Vivekanand Institute of Technology
Computer Science & IT Electrical & Electronics Engineering

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Simplified Multimodal Biometric Identification Abhijit Shete; Kavita Tewari
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 1: March 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (136.372 KB) | DOI: 10.52549/ijeei.v2i1.96

Abstract

Multibiometric systems are expected to be more reliable than unimodal biometric systems for personal identification due to the presence of multiple, fairly independent pieces of evidence e.g. Unique Identification Project "Aadhaar" of Government of India. In this paper, we present a novel wavelet based technique to perform fusion at the feature level and score level by considering two biometric modalities, face and fingerprint. The results indicate that the proposed technique can lead to substantial improvement in multimodal matching performance. The proposed technique is simple because of no preprocessing of raw biometric traits as well as no feature and score normalization.
Co-Authors Kavita Tewari