Palmprint recognition using DWT, DCT and PCA techniques

Palmprint recognition is physiological biometric method used for recognition of person. It consists of various features like texture, statistical, line, point, geometry features which are used separately or by the combination of two or more features for quick and correct recognition purpose. The proposed method Palmprint Recognition using DWT and DCT with PCA technique (PRDDP) is simple and effective methodology for palmprint recognition. In it preprocessing used for palmprint image alignment, to resize the palmprint image and to enhance contrast of palmprint image by using histogram equalization. DCT and DWT used to generate features and that features are extracted by using PCA. And the extracted features, from database images and test images, are match by using ED.