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.
Index Terms—Face Recognition, Mole Detection, Normalized Cross Correlation, Segmentation.
Ramesha K. is with the Department of Telecommunication Engineering, Vemana Institute of Technology, Bangalore - 560034 (corresponding author phone: 080-23109523; fax: 080-25534943; e-mail: firstname.lastname@example.org).
K. B. Raja is with the Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore- 560001 (e-mail:: email@example.com).
Venugopal K. R. is with the Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore- 560001.
L. M. Patnaik is the Vice Chancellor, Defence Institute of Advanced Technology, Pune.
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.