Comparative study of radon based low resolution palmprint image matching

This paper presents comparative study of palmprint matching algorithms for low resolution and noisy images. The principal lines and wrinkles are the only features easily extractable under low resolution. Therefore widely used Radon based approach has been studied and presented in this paper. Based on the computational complexity and fast matching, four different approaches are studied.

[1]  Andrew Beng Jin Teoh,et al.  An automated palmprint recognition system , 2005, Image Vis. Comput..

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

[3]  Dewen Hu,et al.  Comment on: "Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition" , 2008, Pattern Recognit..

[4]  Chin-Chuan Han,et al.  Personal authentication using palm-print features , 2003, Pattern Recognit..

[5]  Honggang Zhang,et al.  Comments on "Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Application to Face and Palm Biometrics" , 2007, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  David Zhang,et al.  Palm line extraction and matching for personal authentication , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

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

[8]  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).

[9]  Guangyi Chen,et al.  Pattern recognition with SVM and dual-tree complex wavelets , 2007, Image Vis. Comput..

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

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

[12]  David Zhang,et al.  Palmprint verification based on principal lines , 2008, Pattern Recognit..

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

[14]  David Zhang,et al.  Palmprint classification using principal lines , 2004, Pattern Recognit..

[15]  Sumangala Biradar,et al.  Personal Identification Using Palmprint Biometrics Based on Principal Line Approach , 2013 .

[16]  David Zhang,et al.  A Novel Palm-Line Detector , 2005, AVBPA.

[17]  David Zhang,et al.  Palmprint recognition using eigenpalms features , 2003, Pattern Recognit. Lett..

[18]  Chih-Lung Lin,et al.  Palmprint verification using hierarchical decomposition , 2005, Pattern Recognit..

[19]  David Zhang,et al.  Palmprint Authentication Based on Orientation Code Matching , 2005, AVBPA.

[20]  David Zhang,et al.  Fisherpalms based palmprint recognition , 2003, Pattern Recognit. Lett..

[21]  Jian Yang,et al.  Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[22]  David Zhang,et al.  Detecting Wide Lines Using Isotropic Nonlinear Filtering , 2007, IEEE Transactions on Image Processing.

[23]  David Zhang,et al.  Characterization of palmprints by wavelet signatures via directional context modeling , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[24]  Zilan Hu,et al.  Comment on: "Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition" , 2008, Pattern Recognit..

[25]  Pradeep M. Patil,et al.  FEATURE EXTRACTION USING HISTOGRAM OF RADON TRANSFORM FOR PALMPRINT MATCHING , 2012 .