Iris features using Dual Tree Complex Wavelet Transform in texture evaluation for biometrical identification

Author

Ignat, Anca ; Luca, Mihaela ; Ciobanu, Amelia

Author_Institution

Fac. of Comput. Sci., “Alexandru Ioan Cuza” Univ., Iaşi, Romania

fYear

2013

fDate

21-23 Nov. 2013

Firstpage

1

Lastpage

4

Abstract

Iris characteristics are accurate and reliable for person identification. We used a new method to extract combined features for color and texture characterization using Dual Tree Complex Wavelet Transform. We applied this feature vectors selection on the UPOL iris color image database. The identification of the subsequent images of the same iris was obtained with competitive results.

Keywords

eye; feature extraction; image colour analysis; image segmentation; image texture; iris recognition; wavelet transforms; UPOL iris color image database; biometrical identification; color characterization; dual tree complex wavelet transform; feature vectors selection; image identification; iris feature extraction; person identification; texture characterization; texture evaluation; Databases; Feature extraction; Image color analysis; Iris; Iris recognition; Wavelet transforms; Dual Tree Complex Wavelet Transform; HSV; Iris feature vectors; L*a*b*; RGB; color; iris identification; texture;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health and Bioengineering Conference (EHB), 2013

Conference_Location

Iasi

Print_ISBN

978-1-4799-2372-4

Type

conf

DOI

10.1109/EHB.2013.6707294

Filename

6707294