TY - JOUR
TI - Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose
AU - Misztal, Krzysztof
AU - Spurek, Przemysław
AU - Saeed, Emil
AU - Saeed, Khalid
AU - Tabor, Jacek
TI - Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose
AB - 
	This work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.
VL - 2015
IS - Volume 24
PY - 2016
SN - 1732-3916
C1 - 2083-8476
SP - 31
EP - 40
DO - 10.4467/20838476SI.15.003.3025
UR - https://ejournals.eu/en/journal/schedae-informaticae/article/cross-entropy-clustering-approach-to-iris-segmentation-for-biometrics-purpose
KW - CEC
KW - cross entropy clustering
KW - iris recognition
KW - biometrics