A robust person authentication system based on score level fusion of left and right irises and retinal features

L. Latha, S. Thangasamy
2010 Procedia Computer Science  
The recognition accuracy of a single biometric authentication system is often much reduced due to the environment, user mode and physiological defects. So a multimodal biometric approach for identity verification using two competent traits, iris and retina is proposed. This multimodal approach diminishes the drawback of single biometric system and improves the performance of an authentication system. Iris and Retina biometric recognition offers a highly reliable solution to person
more » ... . Iris recognition system is composed of segmentation, normalization, feature encoding and matching. Instead of using the entire iris code, only the bits that are consistent in the iris code called the Best bits are considered in the feature matching process. This reduces the computational time and storage requirements of iris code. To enhance the performance of recognition, the iris recognition process is applied to left and right irises separately and the corresponding distance scores are generated for each iris of a person. These scores are combined using the weighted sum fusion rule which further increases the recognition rate. In order to provide liveness verification for our authentication system, we also employed retinal blood vessel pattern recognition. This ensures the presence of only alive persons eliminating the possible spoofing attack. It is composed of segmentation, enhancement, feature encoding and matching. The scores from iris and retina recognition are then combined using weighted sum fusion rule, which further increases the recognition rate. To validate our approach, experiments were conducted on the iris and retina images obtained from CASIA and VARIA datasets respectively. A multimodal biometric database was constructed and then 1500 inter, intra image comparisons were made using the two datasets. The experimental results reveal that our multimodal biometric authentication system is much more reliable and precise than the single biometric approaches.
doi:10.1016/j.procs.2010.11.014 fatcat:33nynciw4fbczivzl7qablyxqa