@article{973316ba-3f62-4637-aeba-218a12cfa041,
author = {Krzysztof Misztal, Przemysław Spurek, Emil Saeed, Khalid Saeed, Jacek Tabor},
title = {Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose},
journal = {Schedae Informaticae},
volume = {2015},
number = {Volume 24},
year = {2016},
issn = {1732-3916},
pages = {31-40},keywords = {CEC; cross entropy clustering; iris recognition; biometrics},
abstract = {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.},
doi = {10.4467/20838476SI.15.003.3025},
url = {https://ejournals.eu/en/journal/schedae-informaticae/article/cross-entropy-clustering-approach-to-iris-segmentation-for-biometrics-purpose}
}