- Tytuł:
- Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose
- Autorzy:
-
Misztal, Krzysztof
Saeed, Emil
Saeed, Khalid
Spurek, Przemysław
Tabor, Jacek - Powiązania:
- https://bibliotekanauki.pl/articles/1373709.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
- Tematy:
-
CEC
cross entropy clustering
iris recognition
biometrics - Opis:
- 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.
- Źródło:
-
Schedae Informaticae; 2015, 24; 31-40
0860-0295
2083-8476 - Pojawia się w:
- Schedae Informaticae
- Dostawca treści:
- Biblioteka Nauki
Artykuł