Multimodal Biometric System using Fingerprint and Iris
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 10
Abstract
A single biometric identifier in making a personal identification is often not able to meet the desired performance requirements. Biometric identification based on multiple biometrics represents an emerging trend. Automated biometric systems for human identification measure a “signature” of the human body, compare the resulting characteristic to a database, and render an application dependent decision. These biometric systems for personal authentication and identification are based upon physiological or behavioral features which are typically distinctive, although time varying, such as Face recognition, Iris recognition, Fingerprint verification, Palm print verification in making a personal identification. Multi-biometric systems, which consolidate information from multiple biometric sources, are gaining popularity because they are able to overcome limitations such as non-universality, noisy sensor data, large intra-user variations and susceptibility to spoof attacks that are commonly encountered in uni-biometric systems. In this paper, it addresses the concept issues and the applications strategies of multibiometric systems. This study proposes a blending of multimodal fingerprint and Iris recognition technique. Our task is two section composition first is feature extraction from both the modalities and then feature level fusion of the extracted features and finally applying a encryption technique to the fused output.
Authors and Affiliations
Deepak Saraswat
Keywords
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