In this paper, a thermal infra red face recognition system for human identification and verification using blood perfusion data and back propagation feed forward neural network is proposed. The system consists of three steps. At the very first step face region is cropped from the colour 24-bit input images. Secondly face features are extracted from the croped region, which will be taken as the input of the back propagation feed forward neural network in the third step and classification and recognition is carried out. The proposed approaches are tested on a number of human thermal infra red face images created at our own laboratory. Experimental results reveal the higher degree performance
@article{arxiv.1309.1155,
title = {Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm},
author = {Ayan Seal and Suranjan Ganguly and Debotosh Bhattacharjee and Mita Nasipuri and Dipak Kumar Basu},
journal= {arXiv preprint arXiv:1309.1155},
year = {2013}
}
Comments
7 pages, Conference. arXiv admin note: substantial text overlap with arXiv:1309.1000, arXiv:1309.0999, arXiv:1309.1009