IRIS Classification By Using An Improved Differential Box-Counting Method

Md Yusof, Nurzahirah (2016) IRIS Classification By Using An Improved Differential Box-Counting Method. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Biometric system is technologies that use information about a person or their physical identity to recognize the person. Biometric system depends on some specific data of uniquely trait to work more effective. In general biometrics is any use of biological data in technology. A biometric system will involve running data through algorithm for a particular result, usually related to a positive identification of a user or other individual. Type of biometrics technology are DNA matching, ear, iris recognition, retina recognition, face recognition, fingerprint recognition, finger geometry recognition, gait, hand geometry recognition, signature recognition and typing recognition. Iris recognition is the feature that found in iris that use for recognition or identify the person. Iris is suitable for biometric system because stable, unique, flexible, reliable and non-invasive and these features make iris recognition more secure and trusted verification system. Therefore, in this project the Improved Differential Box-Counting Method was introduced in feature extraction process in order to evaluate the performance of this method in iris recognition system. A neural network tool in MATLAB is used to evaluate the performance of the system. The performance of this method is expected to achieve 80% of recognizable.

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