Enhancing Performance of Multimodal Biometric System using Gabor Feature and Similarity Index
نویسندگان
چکیده
Multimodal biometric system capture input from single or multiple sensors measuring two or more different modalities characteristics. Multimodal biometric make use of more than one biometric identifiers to compare the identification of a person. The most powerful reason to merge different modalities is to improve the recognition rate and reliability but problems like matching of templates and sometime templates get stolen by hacker. The aim of this paper to introduce a three step procedures to remove these problems. Firstly, features from fingerprint using minutia points and features from iris using canny edge detector is extracted. Secondly, fusion of both extracted feature from fingerprint and iris are fuse using minimum distance technique and lastly, the fused template is secured using selective encryption technique. Same key is used for encryption and decryption the output template.
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