Impacts & Minimization of Interference in Ad-hoc Network [Download Paper] Rahul Kumar, Fakir M. Alamgir and Christer Andrews -------------------------------------------------------------------------------------------------------------------------------------------------------------------- Real time Face Recognition using Curvelet Transform and Complete Local Binary Pattern [Download Paper] Sirshendu Arosh, Subhasis Chand and G.N.Rathna Abstract—In this paper, we propose a novel method of face recognition. The method involves Curvelet Transform, Complete Local Binary Pattern (CLBP), PCA and SVM. Curvelet transform function is a multi resolution and directional method which is efficient in representing curve singularities and edges in an image. An image is decomposed into curvelet subbands of three different resolutions resulting in a total nine output images. Later on, a CLBP applied to extract the descriptive feature sets. A non-linear uncorrelated feature sets are obtained after applying PCA. The training of the dataset is carried out using SVM to obtain feature face vectors. The experimental results were tested on the ORL, Faces94 and Grimace databases and found to be about 98.5%, 99.74% and 99.45% accurate respectively. The real-time implementation is carried out on the PC and Beagle Board using webcam. |