Design and Implementation of Multi-model Biometric Identification System

Abstract

Biometric recognition used to make personal identification based on pattern recognition methods. This research use fingerprint and iris recognition systems to build an active serial multimodal biometric identification system. Fingerprint identification algorithm is modified to be modified Delaney triangulation system. In the modified system only the surrounded triangles around each minutia were compared between the input and the stored template. While in the iris recognition system the segmentation method is modified and the recognition is based on the correlation filter. The recognition method is applied only on the lower part of the iris region that is less effected with noise. The proposed multimodal system gave a high accuracy with error rate equals (0. 9%).

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