Title :
A robust algorithm for pupil center detection
Author :
Yan, Bei ; Li, Jianhua ; Liu, Sha ; Yuan, Haiwen
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
The existing pupil center detection algorithms have fine performance for the ideal eye images. However, the captured eye images are often influenced by various conditions, such as eyelashes, hair, luminance, glasses and so on. In order to detect pupil center under disturbed conditions, this paper proposes a novel algorithm based on radial symmetry transform. Experimental results show that the method is effective and robust to various disturbances.
Keywords :
iris recognition; transforms; ideal eye images; pupil center detection; radial symmetry transform; Accuracy; Eyelashes; Eyelids; Glass; Image edge detection; Pixel; Transforms; pupil center; pupil detection; radial symmetry transform;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8754-7
Electronic_ISBN :
pending
DOI :
10.1109/ICIEA.2011.5975619