Title :
Efficient iris segmentation based on converting iris images to high dynamic range images
Author :
Harifi, Sasan ; Bastanfard, Azam
Author_Institution :
Fac. of Electr., Comput. & IT Eng., Islamic Azad Univ., Qazvin, Iran
Abstract :
Iris segmentation plays a very vital role for iris recognition. In the meantime, high quality image with many details has important role in segmentation. Using High Dynamic Range technique, image details can be increased. In this paper, using converting iris images into HDR iris images, segmentation operation is performed. Images are changed to different exposure manually, then are combined and produced HDR image. HDR images and normal images are tested and compared separately with available segmentation methods. Experiment results show that, the proposed method can segment iris images accurately and can be used for different types of iris images.
Keywords :
image segmentation; iris recognition; HDR iris images; high dynamic range images; iris recognition; iris segmentation; Dynamic range; Image segmentation; Iris; Iris recognition; Object segmentation; HDR images; High Dynamic Range; Identification; Iris; Iris Recognition; Segmentation;
Conference_Titel :
Computing Technology and Information Management (ICCTIM), 2015 Second International Conference on
Conference_Location :
Johor
Print_ISBN :
978-1-4799-6210-5
DOI :
10.1109/ICCTIM.2015.7224603