Computers play an important role in our daily lives and its usage has grown manifolds today.
With ever increasing demand of security regulations all over the world and large number of …

Forensic applications like criminal investigations, terrorist identification and National security
issues require a strong fingerprint data base and efficient identification system. In this paper …

Abstract This chapter explores Big Data's huge volume, velocity, and diversity add to its
complexity. Big data is used to make informed decisions with real-time dynamic updates for …

It is very important to detect the reference point effectively and accurately, especially in
nonminutiae based fingerprint matching and fingerprint classification. In this paper, an …

This paper reports a combination technique for fingerprint identification (matching). The
proposed method utilizes both Normalized cross correlation (NCC) template matching and …

A new edge-sensing demosaicking solution based on a novel vector spectral model is
introduced in this paper. Using the vector spectral model, the proposed solution preserves …

The Fingerprint is widely used biometric to identify and authenticate a person in the society.
In this paper we propose Fingerprint Recognition using Inter Ridge Variation (FRIRV) …

Conventional biometric systems store the biometric features in unprotected templates. Once
these templates are compromised, the raw biometric data can be easily recovered and used …

A Likelihood Ratio Approach to Information Fusion for Image-Based Fingerprint Verification
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Iris identification has received extremely attention as a reliable approach to human
identification in the world today. It is very effective for person identification due to the iris' …