Title :
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
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;
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2013
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-2372-4
DOI :
10.1109/EHB.2013.6707294
