Abstract: This paper presents fusion of three biometric traits, i.e., iris, face and fingerprint, at matching score level architecture using weighted sum of score technique. The features are extracted from the pre-processed images of iris, face and palmprint. These features of a query image are compared with those of a database image to obtain matching scores. The individual scores generated after matching are passed to the fusion module. This module consists of three major steps i.e., Pre-Processing, DWT Segmentation and Image fusion. The final fusion is then used to declare the person as Authenticate or Un-Authenticate with Secret Key Analysis.
Keywords: Deep Learning, Feature Extraction, Fusion, Enhancement, Discrete Wavelet Transform, Biometrics, Modalities, Matlab, Digital Image Processing.
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DOI:
10.17148/IJARCCE.2023.125120
