Title :
A novel iris center localization method based on the spherical eyeball rotation model for human-device interaction
Author :
Kang-A Choi ; Seung-Jin Baek ; Chunfei Ma ; Seung Park ; Sung-Jea Ko
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
This paper presents a novel iris center (IC) localization algorithm for human-device interaction (HDI). In the proposed method, many different IC locations and their corresponding iris boundaries (IBs) are first registered as a database. Using the database, IB matching is performed to locate the IC. Experimental results show that the proposed algorithm outperforms the conventional ones especially when the iris is located at the corners of the eye.
Keywords :
eye; human computer interaction; image matching; image motion analysis; image registration; iris recognition; HDI; eye corner; eye movement; human-device interaction; image registration; iris boundary matching; iris center localization algorithm; iris center localization method; spherical eyeball rotation model; Databases; Fitting; Image edge detection; Integrated circuit modeling; Iris; Shape;
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-1361-2
DOI :
10.1109/ICCE.2013.6486966
