Infrared Face Recognition by Optimum-Path Forest

Author

Chiachia, Giovani ; Marana, Aparecido N. ; Papa, João P. ; Falcão, Alexandre X.

Author_Institution

Dept. of Comput., Sao Paulo State Univ., Sao Paulo, Brazil

fYear

2009

fDate

18-20 June 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents a novel, fast and accurate appearance-based method for infrared face recognition. By introducing the Optimum-Path Forest classifier, our objective is to get good recognition rates and effectively reduce the computational effort. The feature extraction procedure is carried out by PCA, and the results are compared to two other well known supervised learning classifiers; Artificial Neural Networks and Support Vector Machines. The achieved performance asserts the promise of the proposed framework.

Keywords

face recognition; feature extraction; infrared imaging; learning (artificial intelligence); neural nets; pattern classification; principal component analysis; support vector machines; PCA; artificial neural networks; feature extraction; infrared face recognition; optimum-path forest; principal component analysis; supervised learning classifiers; support vector machines; Artificial neural networks; Face detection; Face recognition; Feature extraction; Lighting; Optical computing; Photothermal effects; Principal component analysis; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing, 2009. IWSSIP 2009. 16th International Conference on

Conference_Location

Chalkida

Print_ISBN

978-1-4244-4530-1

Electronic_ISBN

978-1-4244-4530-1

Type

conf

DOI

10.1109/IWSSIP.2009.5367752

Filename

5367752