Biometric System

Amirah Izzati, Hamidi (2014) Biometric System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Biometric System 24 Pages.pdf - Submitted Version Download (199kB)

Abstract

This project is to develop a biometric system featuring iris as the main character in this system. Iris is chosen because of the uniqueness and its stability as a biometric trait. It might not be as popular as fingerprint trait, but it provides better accuracy and high security system. This project focuses on developing algorithm and uses MATLAB software as its main software to develop the system. MATLAB is a powerful software that provides image processing toolbox, and also high level programming methodology, suitable in developing this system. The iris recognition system started with image acquisition, followed by initializing process that includes iris segmentation and iris normalization. After initializing, recognition process took over with feature encoding process. The process returns iris template as the output. The final stage of this project is classification and training, which involves Local Binary Pattern (LBP) technique to classify the iris templates. Neural Network method will be used to train the images afterwards. The final output obtained will determine whether the iris image is authentic or vise versa.

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