TECHSI - Jurnal Teknik Informatika
Vol 7, No 1 (2015)

KUALITAS UNJUK KERJA PENDETEKSIAN CITRA IRIS DENGAN WAVELET 2D

Fadlisyah Fadlisyah (Teknik Informatika Universitas Malikussaleh)

Article Info

Publish Date
21 Mar 2019

Abstract

The performance of an iris recognition system can be undermined by poor quality images and result in high false reject rates (FRR) and failure to enroll (FTE) rates. In this paper, a wavelet-based quality measure for iris images is proposed. The merit of the this approach lies in its ability to deliver good spatial adaptivity and determine local quality measures for different regions of an iris image. Our experiments demonstrate that the proposed quality index can reliably predict the matching performance of an iris recognition system. By incorporating local quality measures in the matching algorithm, we also observe a relative matching performance improvement of about 20% and 10% at the equal error rate (EER), respectively, on the CASIA and WVU iris databases.

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Journal Info
TECHSI - Jurnal Teknik Informatika
Website

Abbrev

techsi

Publisher

Universitas Malikussaleh

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education Other

Description

Focus and Scope The fields covered in the scope of TECHSI include: Artificial Intelligence Computer Graphics and Animation Image Processing Cryptography Computer Network Security Modelling and Simulation Information Retrieval Information Filtering Multimedia Bioinformatics and Telemedicine Computer ...