Title :
An Effective Method for Eyelashes Segmentation Using Wavelet Transform
Author :
Aligholizadeh, M.J. ; Javadi, S. ; Sabbaghi-nadooshan, Reza ; Kangarloo, Kaveh
Author_Institution :
Sci. Assoc. of Electr. & Electron. Eng., Islamic Azad Univ. Central, Tehran, Iran
Abstract :
In an iris recognition system, iris segmentation is an important step. Some regions of iris are occluded by eyelashes so the eyelashes reduce the performance of iris recognition system. In this paper, we present an effective method for eyelashes segmentation. In the first step, eyelashes are detected using the wavelet transform. As regards, the eyelashes are similar to lines in the eye images so in the second step, we use the Hough transform for eyelashes modeling. In the last step, the eyelashes are segmented using the neural network. In this paper we use the CASIA version 1.0 database. The experimental results show the satisfactory performance.
Keywords :
Hough transforms; eye; image segmentation; iris recognition; neural nets; wavelet transforms; CASIA version 1.0 database; Hough transform; eyelash modeling; eyelash segmentation; iris recognition system; iris segmentation; neural network; wavelet transform; Eyelashes; Image edge detection; Image segmentation; Iris recognition; Wavelet transforms; Hough transform; Iris segmentation; eyelash; neural network; pupil; wavelet transform;
Conference_Titel :
Biometrics and Kansei Engineering (ICBAKE), 2011 International Conference on
Conference_Location :
Takamatsu, Kagawa
Print_ISBN :
978-1-4577-1356-9
Electronic_ISBN :
978-0-7695-4512-7
DOI :
10.1109/ICBAKE.2011.46
