Feature based optimal trade-off parameter selection of frequency domain correlation filter for real time face authentication
Pradipta Kumar Banerjee, Jayanta Kumar Chandra, Asit Kumar Datta · 2011
A real time fully automatic face recognition method is reported in this paper, where a frequency domain correlation filter known as optimal trade off maximum average correlation height filter (OTMACH) is optimized for real time application. The modification is done in selecting the optimal parameters for filter based on feature selection of face images by principal component analysis. The features are then used to train generalized regression neural network. The test face image is captured by a webcam camera interfaced with a PC and the recognition result is demonstrated by go-no go signals. The OTMACH filter as modified, gives better recognition rate compared to others conventional correlation filters. The system accepts reasonable variations in expression, pose and illumination conditions of face images.