An automatic training process using clustering algorithms for face recognition system

Author

Ban, Jozef ; Feder, Meir ; Jirka, Vojtech ; Loderer, Marek ; Omelina, Lubes ; Oravec, Milos ; Pavlovicova, Jarmila

Author_Institution

Fac. of Electr. Eng. & Inf. Technol., Slovak Univ. of Technol. in Bratislava, Bratislava, Slovakia

fYear

2013

fDate

25-27 Sept. 2013

Firstpage

15

Lastpage

18

Abstract

The paper deals with automatic training process using clustering algorithms. We provide a comparative study of several clustering algorithms such as K-means, self-organizing map (SOM) and DBSCAN. We use these algorithms for automatic selection of appropriate training samples for face recognition system. We provide an overview of selected methods and we compare their performance on the CMU PIE face database with different types of preprocessing. Based on results published in this paper we propose a part of face recognition system for the Next-Generation Hybrid Broadcast Broadband (HBB-Next) project.

Keywords

face recognition; self-organising feature maps; CMU PIE face database; DBSCAN; K-means; automatic selection; automatic training process; clustering algorithms; face recognition system; next-generation hybrid broadcast broadband project; self-organizing map; Clustering algorithms; Databases; Face recognition; Histograms; Neurons; Partitioning algorithms; Training; Clustering algorithms; DBSCAN; Face recognition; K-MEANS; SOM;

fLanguage

English

Publisher

ieee

Conference_Titel

ELMAR, 2013 55th International Symposium

Conference_Location

Zadar

ISSN

1334-2630

Print_ISBN

978-953-7044-14-5

Type

conf

Filename

6658308