Quality Measurements for Iris Images in Biometrics
Belen Fernandez‐Saavedra, Judith Liu‐Jimenez, Carmen Sánchez Ávila · 2007
A method for analyzing the quality of iris images is presented in this paper. Iris Biometrics for personal identification is based on capturing an eye photograph and obtaining a feature vector that allows to identify a human being. Sometimes these images are not good enough due to a variety of reasons: e.g. out of focus, iris covered by eyelashes or eyelids, etc. It is very important to know if an image has enough quality before applying the feature extraction algorithms, in order to avoid bad results and/or save processing power. The methods designed by the authors, have been evaluated with the images of the ICE 2005 database.