Enhancement of pupil detection and performance comparison based on different iris pattern

Author

Ali, M.A.M. ; Md Tahir, Nooritawati

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia

fYear

2013

fDate

22-25 Sept. 2013

Firstpage

190

Lastpage

194

Abstract

In this research, the effectiveness of fusion due to profile and mask as detection of pupil is investigated. Next, upon completion of pupil detection, the capability of iris recognition based on half size and full size iris is validated with 2D log Gabor as feature encoding, Support Vector Machine as classifier along with Bath Iris Image as the chosen database. Initial findings showed that fusion of profile and mask technique require least computational time for pupil detection. In addition, half iris code size is apt for recognition as compared to the whole iris image due to lower False Acceptance Rate and higher False Rejection Rate attained along with optimum Success Rate.

Keywords

iris recognition; support vector machines; 2D log Gabor; Bath iris image; false acceptance rate; false rejection rate; feature encoding; iris code size; iris pattern; iris recognition; optimum success rate; performance comparison; pupil detection; support vector machine; Databases; Equations; Feature extraction; Gabor filters; Iris; Iris recognition; Support vector machines; Iris Recognition; Performance Measure; Pupil Detection; Support Vector Machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ISIEA), 2013 IEEE Symposium on

Conference_Location

Kuching

Print_ISBN

978-1-4799-1124-0

Type

conf

DOI

10.1109/ISIEA.2013.6738992

Filename

6738992