… classifier such as PCA/2DPCA and LDA/2DLDA in all experimental settings. The same
remarks hold for the representation based techniques (SRC and LRC). When compared to coding…

… , low cost, high recognition accuracy, etc. In the last decade, palmprint identification systems
have … TABLE I: The different recognition rates of our proposed method with SVM classifier …

… methods proposed in the literature, sparse representation for classification (… -LDA. To the
best of our knowledge no such method has previously been proposed for palmprint identification…

… PCA and LDA are used in palmprint recognition. Unlike conventional PCA and LDA that treat
image … A comparison of the classification performance of PCA, LDA, 2DPCA and 2DLDA is …

… Within the past decade, Palmprint recognition has been drawn more and more … palmprint
area is larger than fingerprint area, so it has more classification information than the fingerprint …

… With the introduction of IMED and IMIP, we can conveniently embed them into many
popular image feature extraction and classification approaches, such as PCA, LDA, k-nearest …

… performance of a number of holistic-based (Fisherpalms and DCT+LDA) and local … classifier),
and thus there are two main issues, holistic palmprint image representation and classifier …

… classification is still an open problem. Various palmprint representations have been proposed
for palmprint … important in face recognition, and the PCA and LDA methods are beautifully …

… classification accuracy. Some works [18-19] fuse the 2D and 3D palmprint features to improve
the palmprint classification … used LDA to extract features from 3D palmprints for recognition…

… To address issues associated with 2D palmprint recognition systems, lately 3D palmprint-based
personal recognition methods have been introduced [9-14]. For instance, Zhang et al. [9] …