The nature of statistical learning theory
The nature of statistical learning theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
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
Texture classification using Gabor wavelets based rotation invariant features
Pattern Recognition Letters
Palmprint Verification for Controlling Access to Shared Computing Resources
IEEE Pervasive Computing
Palmprint verification based on principal lines
Pattern Recognition
Feature Extraction using Unit-linking Pulse Coupled Neural Network and its Applications
Neural Processing Letters
A survey of palmprint recognition
Pattern Recognition
An automated palmprint recognition system
Image and Vision Computing
Texture-based palmprint retrieval using a layered search scheme for personal identification
IEEE Transactions on Multimedia
A face and palmprint recognition approach based on discriminant DCT feature extraction
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Integrating wavelets with clustering and indexing for effective content-based image retrieval
Knowledge-Based Systems
Palmprint identification based on wide principal lines
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
On-line fast palmprint identification based on adaptive lifting wavelet scheme
Knowledge-Based Systems
Review: Pulse coupled neural networks and its applications
Expert Systems with Applications: An International Journal
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To alleviate the limitation that the recent texture based algorithms for palmprint recognition yield unsatisfactory robustness to the variations of orientation, position and illumination in capturing palmprint images, this paper describes a novel texture based algorithm for palmprint recognition combining 2D Gabor wavelets and pulse coupled neural network (PCNN). In the proposed algorithm, palmprint images are decomposed by 2D Gabor wavelets, and then PCNN is employed to imitate the creatural vision perceptive process and decompose each Gabor subband into a series of binary images. Entropies for these binary images are calculated and regarded as features. A support vector machine-based classifier is employed to implement classification. Experimental results show that the proposed approach yields a better performance in terms of the correct classification percentages and relatively high robustness to the variations of orientation, position and illumination compared with the recent texture based approaches.