Fingerprint Iris Palmprint Multimodal Biometric Watermarking System Using Genetic Algorithm-Based Bacterial Foraging Optimization Algorithm

With the wide spread utilization of Biometric identification systems, establishing the authenticity of biometric data itself has emerged as an important issue. In this chapter, a novel approach for creating a multimodal biometric system has been suggested. The multimodal biometric system is implemented using the different fusion schemes such as Average Fusion, Minimum Fusion, Maximum Fusion, Principal Component Analysis Fusion, Discrete Wavelet Transform Fusion, Stationary Wavelet Transform Fusion, Intensity Hue Saturation Fusion, Laplacian Gradient Fusion, Pyramid Gradient Fusion and Sparse Representation Fusion. In modality extraction level, the information extracted from different modalities is stored in vectors on the basis of their modality. These are then blended to produce a joint template which is the basis for the watermarking system. The fused image is applied as input along with the cover image to the Genetic Algorithm based Bacterial Foraging Optimization Algorithm watermarking system. The standard images are used as cover images and performance was compared.