doi: 10.7763/IJCTE.2010.V2.243
Template based Mole Detection for Face Recognition
Ramesha K.1,*
, , ,
- 1Department of Telecommunication Engineering, Vemana Institute of Technology, Bangalore - 560034.
- 2Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore- 560001.
- 3Institute of Advanced Technology, Pune.
Abstract
Face recognition is used for personal identification. The Template based Mole Detection for Face Recognition (TBMDFR) algorithm is proposed to verify authentication of a person by detection and validation of prominent moles present in the skin region of a face. Normalized Cross Correlation (NCC) matching, complement of Gaussian template and skin segmentation is used to identify and validate mole by fixing predefined NCC threshold values. It is observed that the NCC values of TBMDFR are much higher compared to the existing algorithms.
Keywords
- Face Recognition
- Mole Detection
- Normalized Cross Correlation
- Segmentation
How to Cite
Ramesha K., K. B. Raja, Venugopal K. R., and L. M. Patnaik, "Template based Mole Detection for Face Recognition," International Journal of Computer Theory and Engineering, vol. 2, no. 5, pp. 797-804, 2010. https://doi.org/10.7763/IJCTE.2010.V2.243
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).