Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Palmprint recognition using eigenpalms features
Pattern Recognition Letters
Online Palmprint Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fisherpalms based palmprint recognition
Pattern Recognition Letters
Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
(2D)2LDA: An efficient approach for face recognition
Pattern Recognition
Palmprint identification using feature-level fusion
Pattern Recognition
Palmprint verification based on principal lines
Pattern Recognition
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
A survey of palmprint recognition
Pattern Recognition
Robust palmprint verification using 2D and 3D features
Pattern Recognition
Palmprint authentication using a symbolic representation of images
Image and Vision Computing
Rapid and brief communication: Two-dimensional FLD for face recognition
Pattern Recognition
2D-LDA: A statistical linear discriminant analysis for image matrix
Pattern Recognition Letters
Palmprint recognition based on translation invariant Zernike moments and modular neural network
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
An Innovative Weighted 2DLDA Approach for Face Recognition
Journal of Signal Processing Systems
Palmprint verification using GridPCA for Gabor features
Proceedings of the Second Symposium on Information and Communication Technology
Characterization of palmprints by wavelet signatures via directional context modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a novel palmprint recognition algorithm based on using GridLDA for Gabor wavelet features. Our proposed method includes two main steps for palmprint feature extraction: (1) Local invariant features are extracted by computing the Gabor wavelet Engergy of the original images that handles the palm structure and the variations of illumination. (2) An improved two-dimensional Linear Discriminant Analysis, called GridLDA, is then applied to further remove redundant information and form a discriminant representation more suitable for palmprint recognition. The experimental results for the identification on public database of Hong Kong Polytechnic University (PolyU) demonstrate the effectiveness of the proposed method.