Title :
Iris Image Recognition
Author :
Choras, Ryszard S.
Author_Institution :
Univ. of Technol. & Life Sci., Bydgoszcz
Abstract :
The authentication of people using iris-based recognition is a widely developing technology. Iris recognition is feasible for use in differentiating between identical twins. Though the iris color and the overall statistical quality of the iris texture may be dependent on genetic factors, the textural details are independent and uncorrelated for genetically identical iris pairs. The feature extraction and classification are heavily based on the rich textural details of the iris.
Keywords :
biometrics (access control); feature extraction; image classification; image colour analysis; image texture; statistical analysis; feature classification; feature extraction; iris color; iris image recognition; iris texture; people authentication; statistical quality; textural details; Authentication; Biometrics; Feature extraction; Fingerprint recognition; Gabor filters; Genetics; Image edge detection; Image recognition; Iris recognition; Shape;
Conference_Titel :
Computer Information Systems and Industrial Management Applications, 2007. CISIM '07. 6th International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7695-2894-5
DOI :
10.1109/CISIM.2007.44
