Orientation Features and Distance Measure of Palmprint Authentication

Orientation information of palm lines carries much discriminative information and is one of the most promising features for palmprint authentication. For the orientation code-based methods, the orientation extraction and distance measure are two essential issues for palmprint verification. In this chapter, some efficient orientation extraction methods and a novel distance measure method are presented. The chapter is organized as follows. We first give a brief introduction to the orientation code-based methods in Sect. 5.1. In Sects. 5.2 and 5.3, two novel multiscale orientations code-based algorithms are presented. Section 5.4 introduces an improved distance measure method for palmprint authentication.

[1]  Mathews Jacob,et al.  Design of steerable filters for feature detection using canny-like criteria , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  David Zhang,et al.  Online Palmprint Identification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Tieniu Tan,et al.  Combine hierarchical appearance statistics for accurate palmprint recognition , 2008, 2008 19th International Conference on Pattern Recognition.

[4]  Tieniu Tan,et al.  Palmprint Recognition Based on Directional Features and Graph Matching , 2007, ICB.

[5]  Rahul Garg,et al.  Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property , 2009, ICML '09.

[6]  David Zhang,et al.  Texture-based palmprint retrieval using a layered search scheme for personal identification , 2005, IEEE Transactions on Multimedia.

[7]  David Zhang,et al.  Multiscale competitive code for efficient palmprint recognition , 2008, 2008 19th International Conference on Pattern Recognition.

[8]  Zhenhua Guo,et al.  A unified distance measurement for orientation coding in palmprint verification , 2010, Neurocomputing.

[9]  Bhaskar D. Rao,et al.  Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm , 1997, IEEE Trans. Signal Process..

[10]  Marc Teboulle,et al.  A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..

[11]  Stephen P. Boyd,et al.  An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least Squares , 2007, IEEE Journal of Selected Topics in Signal Processing.

[12]  Edward H. Adelson,et al.  The Design and Use of Steerable Filters , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  David Zhang,et al.  A performance evaluation of filter design and coding schemes for palmprint recognition , 2008, 2008 19th International Conference on Pattern Recognition.

[14]  David Zhang,et al.  On hierarchical palmprint coding with multiple features for personal identification in large databases , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[15]  Kuanquan Wang,et al.  Bidirectional PCA with assembled matrix distance metric for image recognition , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[16]  Honglak Lee,et al.  Efficient L1 Regularized Logistic Regression , 2006, AAAI.

[17]  David Zhang,et al.  Competitive coding scheme for palmprint verification , 2004, ICPR 2004.

[18]  Isabelle Guyon,et al.  What Size Test Set Gives Good Error Rate Estimates? , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  David Zhang,et al.  Palmprint verification based on robust line orientation code , 2007, Pattern Recognit..

[20]  David Zhang,et al.  On accurate orientation extraction and appropriate distance measure for low-resolution palmprint recognition , 2011, Pattern Recognit..

[21]  David Zhang,et al.  Palmprint feature extraction using 2-D Gabor filters , 2003, Pattern Recognit..

[22]  E. Candès,et al.  Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.

[23]  Gabriel Cristóbal,et al.  Self-Invertible 2D Log-Gabor Wavelets , 2007, International Journal of Computer Vision.

[24]  David Zhang,et al.  Palmprint identification using feature-level fusion , 2006, Pattern Recognit..

[25]  Tieniu Tan,et al.  Ordinal palmprint represention for personal identification [represention read representation] , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[26]  Zhenhua Guo,et al.  The multiscale competitive code via sparse representation for palmprint verification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.