Performance Evaluation Of Image Fusion Techniques And Its Implementation In Biometric Recognition
V. Divyaloshini, M. Saraswathi · 2014
Abstract: A Biometric system is essentially a pattern recognition system that makes use of biometric traits to recognize individuals. Authentication systems built on only one biometric modality may not fulfill the Requirements of demanding applications in terms of properties such as performance, acceptability and distinctiveness. Most of the unimodal biometrics systems have problems such as noise in collected data, intra-class variations, interclass variations, non universality etc. Some of these limitations can be overcome by multiple source of information for establishing identity; such systems are known as multimodal biometric systems. The aim of this paper, regarding multimodal biometric verification, is twofold: on the one hand, to review some fusion strategies reported in the literature and, on the other hand, to implement a biometric system with most suited fusion technique. In this paper three fusion techniques (PCA, DCT & DWT) are analyzed and DWT will be established as a most suited fusion technique for multi modal biometric system of iris, palm print, face and signature. The fused image is then extracted by using Inverse Discrete Wavelet transform.