DBC based Face Recognition using DWT

The applications using face biometric has proved its reliability in last decade. In this paper, we proposeDBC based Face Recognition using DWT (DBC- FR) model. The Poly-U Near Infra Red (NIR) databaseimages are scanned and cropped to get only the face part in pre-processing. The face part is resized to100*100 and DWT is applied to derive LL, LH, HL and HH subbands. The LL subband of size 50*50 isconverted into 100 cells with 5*5 dimention of each cell. The Directional Binary Code (DBC) is applied oneach 5*5 cell to derive 100 features. The Euclidian distance measure is used to compare the features of testimage and database images. The proposed algorithm render better percentage recognition rate comparedto the existing algorithm.