Inlämning av Examensarbete / Submission of Thesis

Percy Oad; Waqas Ahmad , pp. 47. ING/School of Engineering, 2012.

The work

Författare / Author: Percy Oad, Waqas Ahmad
Titel / Title: Iris localization using Daugman's algorithm
Abstrakt Abstract:

Iris recognition system is a reliable and an accurate biometric system. Localization of the iris borders in an eye image can be considered as a vital step in the iris recognition process. There exist many algorithms to segment the iris. One of the segmentation methods, that is used in many commercial iris biometric systems is an algorithm known as a Daugman's algorithm. The aim of this thesis is to implement this algorithm using MATLAB programming environment. The implemented algorithm was tested on the eye images of different quality, such as the images with partly covered iris or low contrast images. The test results demonstrated that the Daugman’s algorithm detects the iris borders in the high quality images with high accuracy. The performance of the algorithm on the lower quality images has been improved by additional preprocessing of these images.

Ämnesord / Subject: Signalbehandling - Signal Processing

Nyckelord / Keywords: iris, border, detection

Publication info

Dokument id / Document id: houn-8qu4nf
Program:/ Programme Electrical Engineering with emphasis on Telecommunication
Registreringsdatum / Date of registration: 01/25/2012
Uppsatstyp / Type of thesis: C-Uppsats


Handledare / Supervisor: Irina Gertsovich
Examinator / Examiner: Sven Johansson
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: bth2011oad.pdf (1301 kB, öppnas i nytt fönster)