چکیده (انگلیسی):

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.