Efficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris Features | Science Publications

Journal of Computer Science

T. Purusothaman¹  A. J. Basha¹  V. Palanisamy¹ 

关键词: Multimodal biometrics;    fingerprint verification;    iris recognition;    rank level fusion;    iris segmentation;    False Acceptance Rate (FAR);    Crossing Number (CN;    eyelid edge map);    Equal Error Rate (EER);    biometric system;    Genuine Acceptance Ratio (GAR);    fingerprint image;   

DOI  :  10.3844/jcssp.2011.698.706

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: The accuracy of biometric systems varies with the kind of biometricfeature used in it. The Unmoral biometric system is prone to interclass variations. Approach: Weimplement Multimodal biometric systems to overcome the limitations by using multiple pieces ofevidence of the same identity. However, the multimodal biometric system is limited to the timeconstraints due to its multiple processing stages. To improve the speed of authentication in thebiometric system with acceptable accuracy, we have introduced a dynamic fingerprint verificationtechnique fused with enhanced iris recognition using the adaptive rank level fusion method. Results:When tested upon the standard biometric dataset the system shows improvement in the FalseAcceptance Rate (FAR) and Equal Error Rate (EER) curves. Essentially, the time taken for the trainingand verification phase has a reduction of 10% when compared with the existing systems. Conclusion:The multimodel system has necessarily increased the speed and performance of the verification systemespecially when tested on slow processing and low memory devices.

【 授权许可】

Unknown