… In 2018, Murutesh and Elango [32] carried out a contourlet transform with PCA and dual-tree
complex wavelet transform to obtain palm print features. As a result of the SVM classifier, …

… contourlet transformation The study proposes a multimodal biometric design that combines
face and palm print recognition … and used the contourlet transformation in palm print data sets…

… transformation of the contourlet got the highest recognition … adopt "palm print recognition
using contour let transform" in … of the palm print recognition system using contourlet features. …

… score level fusion for palm vein recognition, feature level fusion was paid less attention so
they proposed a method for multi-spectral palmprint recognition by the feature level fusion …

… , the Contourlet transform is also called a contour wave transform. Contourlet transform has
… Because the Contourlet transform is based on the down sampling decomposition method in …

… " palm print recognition using contour let transform energy … and then apply the contour let
transformations to extract features, … The results were promising when the contour let transform …

… biometric recognition systems have greater advantages that provide good anti-spoofing
abilities. The system uses Contourlet transform to analyse the features present in palm print and …

… identification is regarded as an efficient method for automatically recognizing a person’s
identity with a higher confidence [1,2,3]. While palmprint … of images, contourlet transform is used …

… -line writer identification. The algorithm is based on Arabic words. The identification of Arabic
… based classification approach using the Discrete Contourlet transform. The coefficient of CT …

… features and distinguishable information, and palmprint recognition is opposite to the palm.
The … Using the wavelet transform implemented by the Contourlet transform tool, the palmprint …