Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose

• Authors: Krzysztof Misztal , Emil Saeed , Khalid Saeed , Przemysław Spurek , Jacek Tabor
• Languages of publication: PL

Abstracts

PL

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.

Keywords

PL

CEC, cross entropy clustering, iris recognition, biometrics

• Publisher: [unknown2]
• Journal: Schedae Informaticae
• Year: 2015
• Volume: 24

Dates

published

2015

online

06 - 07 - 2016

Contributors

author

Krzysztof Misztal

author

Emil Saeed

author

Khalid Saeed

author

Przemysław Spurek

author

Jacek Tabor