Title :
Variation in accuracy of textured contact lens detection based on sensor and lens pattern
Author :
Doyle, James S. ; Bowyer, Kevin W. ; Flynn, Patrick J.
fDate :
Sept. 29 2013-Oct. 2 2013
Abstract :
Automatic detection of textured contact lenses in images acquired for iris recognition has been studied by several researchers. However, to date, the experimental results in this area have all been based on the same manufacturer of contact lenses being represented in both the training data and the test data and only one previous work has considered images from more than one iris sensor. Experimental results in this work show that accuracy of textured lens detection can drop dramatically when tested on a manufacturer of lenses not seen in the training data, or when the iris sensor in use varies between the training and test data. These results suggest that the development of a fully general approach to textured lens detection is a problem that still requires attention.
Keywords :
image sensors; image texture; iris recognition; lenses; automatic detection; iris sensor; lens pattern; sensor pattern; textured contact lens detection; textured lens detection; Accuracy; Feature extraction; Iris; Iris recognition; Lenses; Training;
Conference_Titel :
Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on
Conference_Location :
Arlington, VA
DOI :
10.1109/BTAS.2013.6712745