Local binary patterns (LBP) are one of the most important image representations. However,
LBPs have not been as successful as other methods in palmprint recognition. Originally, the …

In this paper we propose a novel approach to palmprint recognition based on local Haralick
features. These features are calculated from the grey-level co-occurrence matrices created …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

We propose an online palmprint identification and verification algorithm with the use of
kernel Fisher discriminant analysis (KFD) on the Gabor wavelet representation of palm …

摘要掌纹识别作为一种新兴的生物识别技术近年来得到了广泛研究. 鉴于毯子维(Blanket
dimension, BD) 的多分辨率特性和掌纹纹理的方向性, 本文对比分析了普通毯子维 …

In this paper, we propose and evaluate palmprint recognition method based on local
Haralick features. The Haralick features are extracted from overlapping square subimages of …

In this paper, a new Palmprint recognition technique is introduced based on the gray-level
co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the …

As a recently proposed technique, sparse representation (SR) has been widely used for
pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores …

Deployment of automated biometric solutions that use cues from multiple modalities
enhances the reliability and robustness of authentication. In this chapter, a single sensor …

As a recently proposed technique, sparse representation (SR) has been widely used for
pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores …