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
The equivalence of two-dimensional PCA to line-based PCA
Pattern Recognition Letters
Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA
Pattern Recognition Letters
Neural Networks - 2005 Special issue: IJCNN 2005
Palmprint identification using feature-level fusion
Pattern Recognition
Palmprint verification based on principal lines
Pattern Recognition
Palmprint recognition with improved two-dimensional locality preserving projections
Image and Vision Computing
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
Palmprint verification using binary orientation co-occurrence vector
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
Characterization of palmprints by wavelet signatures via directional context modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Bidirectional PCA with assembled matrix distance metric for image recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
GridLDA of Gabor wavelet features for palmprint identification
Proceedings of the Third Symposium on Information and Communication Technology
| Hi-index | 0.00 |
Palmprint recognition is a challenging problem for reliable person authentication due to the complex patterns of palmprint image. In this paper, we propose a novel algorithm for palmprint verification based on using Grid-PCA for Gabor features. Our proposed algorithm includes the following steps: (1) Gabor feature extraction by using a Gabor function of multiple scales and orientations with the aim that optimize local properties in both spatial and frequency domain. (2) Grid-PCA is applied to effectively reduce the feature space dimension of each Gabor-filtered image. The experimental results for the verification on public palmprint databases of Indian Institute of Technology Delhi and Hong Kong Polytechnic University show that the proposed method exhibits a very high robustness and gets the best performance in comparing to other approaches in literature.