Optimum fusion of visual and thermal face images for recognition

Author

Bhowmik, Mrinal Kanti ; Bhattacharjee, Debotosh ; Nasipuri, Mita ; Basu, Dipak Kumar ; Kundu, Mahantapas

Author_Institution

Dept. of Comput. Sci. & Eng., Tripura Univ., Suryamaninagar, India

fYear

2010

fDate

23-25 Aug. 2010

Firstpage

311

Lastpage

316

Abstract

In this paper one investigation has been done to find the optimum level of fusion to find a fused image from visual as well as thermal images. Because of the use of face recognition system in critical areas like, authenticating an authorized person in highly secured areas, investigation of criminals, online monitoring etc, face recognition system should be very robust and accurate one. This work is an attempt to fuse visual and thermal face images at optimum level to extract the advantages of visual as well as thermal images. In our work, Object Tracking and Classification Beyond Visible Spectrum (OTCBVS) database has been used for the visual and thermal images. Among all the experiments a maximum recognition result obtained is 93%.

Keywords

face recognition; infrared imaging; face recognition; object tracking; thermal face image; thermal image; visible spectrum; Face; Face recognition; Image recognition; Lighting; Testing; Training; Visualization; eigenspace projection; face recognition; fused image; multilayer perceptron (MLP); optimum fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Assurance and Security (IAS), 2010 Sixth International Conference on

Conference_Location

Atlanta, GA

Print_ISBN

978-1-4244-7407-3

Type

conf

DOI

10.1109/ISIAS.2010.5604191

Filename

5604191