Representação e Classificação de Texturas da Íris Baseada na Transformada Ótima de Gabor

Authors

  • Fernanda Rispoli Quartieri Programa de Pós-Graduação em Engenharia Elétrica – PPGEE, Universidade Federal do Rio Grande do Sul – UFRGS
  • Jacob Scharcanski Programa de Pós-Graduação em Engenharia Elétrica – PPGEE, Universidade Federal do Rio Grande do Sul – UFRGS
  • Letícia Vieira Guimarães Programa de Pós-Graduação em Engenharia Elétrica – PPGEE, Universidade Federal do Rio Grande do Sul – UFRGS
  • Adalberto Schuck Junior Programa de Pós-Graduação em Engenharia Elétrica – PPGEE, Universidade Federal do Rio Grande do Sul – UFRGS

DOI:

https://doi.org/10.22456/2175-2745.7023

Abstract

This paper proposes to investigate the application of the method developed by Manjunah and Ma [12], namely, the Optimal Gabor Wavelet Transform (OGWT), in the context of iris texture representation. The proposed method was tested in a widely known database of 1205 eye images [16]. In each one of these images, the iris region was segmented, and then represented in multiple scales using the OGWT; the íris texture patterns were represented by their statistics in the Wavelet domain, and compared using similarity metrics. The experimental results indicate that the proposed method obtains a correct iris recognition rate of 94,68%, even considering out of focus images and iris occlusions; a correct iris recognition rate of 100% is obtained excluding problematic images. The proposed method is flexible, and allows to fine tune the iris recognition criterion according to the accuracy level required by the application.

Downloads

Download data is not yet available.

Published

2008-12-12

How to Cite

Quartieri, F. R., Scharcanski, J., Vieira Guimarães, L., & Schuck Junior, A. (2008). Representação e Classificação de Texturas da Íris Baseada na Transformada Ótima de Gabor. Revista De Informática Teórica E Aplicada, 15(2), 105–120. https://doi.org/10.22456/2175-2745.7023

Issue

Section

Regular Papers