Abstract
Person identification based on unimodal biometric system suffers from noise, intra class similarity, non universality, distinctiveness and spoof attacks. To alleviate the problem faced in unimodal biometric system biometric traits are combined in multimodal biometric system. In this study a new approach, to improve the recognition rate, reduces computational complexity and storage space is presented. Distinct method of person identification using detection and extraction of optic disc from retina and concha from ear is carried out Region Of Interest (ROI) locator which is proposed here automatically detects the optic disc either from right or left eye and extracts it. Feature level fusion of optic disc and concha is done for recognition of a person. The method is tested with ROI locator and without ROI locator on publicly available databases and the experimental result shows that our multimodal biometric system outperforms with ROI locator than Without ROI locator. Matching Rate (MR) of 95 to 100% and Equal Error Rate (EER) of less than 10% is achieved with this system. The new approach was tested for unimodal system with ROI locator and was able to achieve 100% Matching Rate.
Highlights
A day’s most of the systems which needs controlled access to finance, networks, or any other critical security related applications prefer to have biometric identification systems which use physiological or behavioral traits to provide secured access to the system
Experimentation was conducted with two databases in our paper and with optic disc being extracted we were able to achieve more than 95% matching rate
We have presented a new method for extracting optic disc from Retina
Summary
A day’s most of the systems which needs controlled access to finance, networks, or any other critical security related applications prefer to have biometric identification systems which use physiological or behavioral traits to provide secured access to the system. The error rates associated with unimodal biometric system are quite high and this makes it unacceptable for deployment in security critical applications. To overcome the limitations faced with unimodal system multimodal systems were used. Multimodal systems are more reliable, due to the presence of multiple, a fairly independent piece of evidence. A new way of locating and extracting optic disc from retina is presented. Concha part of ear which is mostly free from occlusions is used as another biometric trait. Optic disc and concha, which are used as biometric traits here, are reliable and secured
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