Adaptive Pointing Theory (APT) Artificial Neural Network
Kamal R. Al-Rawi, Consuelo Gonzalo · International Journal of Computer and Communication Engineering · 2014
This paper presents a robust approach for recognition of thermal face images based on decision level fusion of 34 di®erent region classi¯ers.The region classi¯ers concentrate on local variations.They use singular value decomposition (SVD) for feature extraction.Fusion of decisions of the region classi¯er is done by using majority voting technique.The algorithm is tolerant against false exclusion of thermal information produced by the presence of inconsistent distribution of temperature statistics which generally make the identi¯cation process di±cult.The algorithm is extensively evaluated on UGC-JU thermal face database, and Terravic facial infrared database and the recognition performance are found to be 95.83% and 100%, respectively.A comparative study has also been made with the existing works in the literature.