Image Processing Segmentation Based Verification of Secured Fingerprint Using Computational Geometry Algorithms

Abstract: In Our Project Presents fusion of three biometric traits, i.e., iris, palm print and fingerprint, at matching score level architecture using weighted sum of score technique. The features are extracted from the pre-processed images of iris, palm print and fingerprint. 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., normalization, generation of similarity score and fusion of weighted scores. The final score is then used to declare the person as Authenticate or Un-Authenticate with Secret Key Analysis.

Keywords: Multimodal, multi-resolution, curvelet tranform, ridgelet transform, score combination, weighted similarity.