… Since the contourlet transform has very desirable properties for invariant palmprint recognition,
we will use it to extract features to recognize the unknown palmprint images. The original …

… Our results clearly show an improvement in GAR as well as EER by using proposed Contourlet
Transform based approach for feature extraction. Table II summarizes different values of …

… feature extraction techniques for palmprint recognition are … contourlet transform are briefly
introduced in Sections 4 and 5, respectively. Feature extraction using OCDWT and contourlet …

… PALMPRINT TECHNIQUES Many techniques are suggested for palmprint recognition; in …
These techniques depend on different feature extraction and matching methods. The first …

… Contourlet Transform (CT) provides more efficient … The contourlet is mainly based on the
Laplacian pyramid and the … flow of the contourlet, and the performance of the contourlet will be …

… The central part of each palmprint is determined in preprocessing step. … feature extracting,
contourlet transform is applied to the central part of palmprint and then features are extracted …

… , curvelets, and contourlets transforms. … a palmprint feature extraction and recognition method
combining the multi-wavelet analysis and complex network is proposed. First, the palmprint …

… The method is not only robust to the variations and distortions occurred on palmprint
images, but also efficient in feature extraction and matching. The effectiveness of the proposed …

… This paper proposes a new palmprint identification system using Contourlet … the contourlet
domain forming the feature vector. The Normalized Euclidean Classifier is used for palmprint …

… palmprint identification system using a combination of Contourlet Transform (CT) and
nonsubsampled Contourlet … the feature vector. The Normalized Euclidean Classifier is used for …