Title :
Eye detection for eyeglass wearers in iris recognition
Author :
Yujin Jung ; Dongik Kim ; Jaihie Kim
Author_Institution :
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
An eye detection method for eyeglass wearers in iris recognition is proposed. The eye detection method consists of two steps; eye candidate detection and eye validation. In eye candidate detection, eye candidates are searched by employing a mask with 2×3 sub-blocks on a near infrared eye image to compute the intensity difference between the iris region and the surrounding regions. In eye validation, an eye is verified by searching a pupil region in the eye candidates by employing a mask with 3×3 sub-blocks to compute the intensity difference between the pupil region and its surrounding regions. The experiment result shows that the eye detection rate is higher when a 2×3 mask is employed than when a 3×3 mask is employed in the eye candidate detection for eyeglass wearers.
Keywords :
iris recognition; eye candidate detection; eye detection rate; eye validation; eyeglass wearers; iris recognition; iris region; near infrared eye image; pupil region; Educational institutions; Image recognition; Iris; Iris recognition; Lighting; Robustness; Security; eye detection; eye localization; eyeglasses; iris recognition; pupil detection;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884446