A new feature extraction method using the ICA filters for iris recognition system

Seung In Noh, Kwanghyuk Bae, Kang Ryoung Park, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a new feature extraction method based on independent component analysis (ICA) for iris recognition, which is known as the most reliable biometric system. We extract iris features using a bank of filters which are selected from the ICA basis functions. The ICA basis functions themselves are sufficient to be used as filter kernels for extracting iris features because they are estimated by training iris signals. Using techniques of the ICA estimation, we generate many kinds of candidates ICA filters. To select the ICA filters for extracting salient features efficiently, we introduce the requirements of the ICA filter. Each ICA filter has a different filter size and a good discrimination power to identify iris pattern. Also, the correlation between bandwidths of the ICA filters is minimized. Experimental results show that the EER of proposed ICA filter bank is better than those of existing methods in both the Yonsei iris database and CASIA iris database.

Original languageEnglish
Title of host publicationAdvances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings
Pages142-149
Number of pages8
DOIs
Publication statusPublished - 2005 Dec 1
EventInternational Wokshop on Biometric Recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication - Beijing, China
Duration: 2005 Oct 222005 Oct 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3781 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Wokshop on Biometric Recognition Systems, IWBRS 2005: Advances in Biometric Person Authentication
CountryChina
CityBeijing
Period05/10/2205/10/23

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Noh, S. I., Bae, K., Park, K. R., & Kim, J. (2005). A new feature extraction method using the ICA filters for iris recognition system. In Advances in Biometric Person Authentication - International Wokshop on Biometric Recognition Systems, IWBRS 2005, Proceedings (pp. 142-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3781 LNCS). https://doi.org/10.1007/11569947_18