'KKWETC' Indian Face Database

Manisha Satone

doi:https://doi.org/10.14445/22315381/IJETT-V54P202

Research Article | Open Access | Download PDF

Volume 54 | Number 1 | Year 2017 | Article Id. IJETT-V54P202 | DOI : https://doi.org/10.14445/22315381/IJETT-V54P202

'KKWETC' Indian Face Database

Manisha Satone

Citation :

Manisha Satone, "'KKWETC' Indian Face Database," International Journal of Engineering Trends and Technology (IJETT), vol. 54, no. 1, pp. 9-11, 2017. Crossref, https://doi.org/10.14445/22315381/IJETT-V54P202

Abstract

To test face recognition algorithm developed by researchers, it is needed to have proper database. This paper describes an Indian face database ‘KKWETC’ of visual and thermal static images of human faces. Images were taken in uncontrolled indoor environment. Database contains 816 static visible images of 68 subjects and 150 thermal images of 50 subjects. A baseline Principal Component Analysis (PCA) face recognition algorithm was tested on both databases. Researchers can use these databases to test algorithm and compare results. Database is available to research community through the procedure described at http://engg.kkwagh.edu.in/media/post_image/database_info_website.pdf.

Keywords

Face recognition, database, thermal images.

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