Personal Identification Using Palmprint and Contourlet Transform

Palmprint based personal verification has gained preference overother biometric modalities due to its ease of acquisition, highuser acceptance and reliability. This paper presents a newpalmprint based identification approach which uses the texturalinformation available on the palmprint by employing the ContourletTransform (CT). Center of the palm is calculated using the DistanceTransform and by calculating the parameters for the best fittingellipse, the alignment of hand `θ ' is found.Rotational invariance is achieved by cropping a square region ofsize 256 x 256 pixels around the center aligned at θ degrees. After establishing the region of interest (ROI), the twodimensional (2-D) spectrums is divided into fine slices, usingiterated directional filterbanks. Next, directional energycomponents for each block of the decomposed subband outputs arecomputed. The proposed algorithm captures both local and globaldetails in a palmprint as a compact fixed length palm code of thecomputed directional energies. Palmprint matching is then performedusing Normalized Euclidean Distance classifier. The proposedalgorithm is tested on a total of 500 palm images of GPDS Handdatabase, acquired from University of Las Palmas de Gran Canaria.The experimental results demonstrated the feasibility of theproposed system by exhibiting Genuine Acceptance Rate of 98.2%,Decidability Index of 2.6212 and Equal Error Rate of 0.7082%.

[1]  David Zhang,et al.  Palmprint Identification by Fourier Transform , 2002, Int. J. Pattern Recognit. Artif. Intell..

[2]  Yuhua Peng,et al.  Palmprint recognition using wavelet and support vector machines , 2006 .

[3]  Jacek M. Zurada,et al.  Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I , 2006, International Symposium on Neural Networks.

[4]  Helen C. Shen,et al.  Recognition of palmprints using wavelet-based features , 2002 .

[5]  David Zhang,et al.  Personal recognition using hand shape and texture , 2006, IEEE Transactions on Image Processing.

[6]  Murat Ekinci,et al.  Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA , 2007, MLDM.

[7]  A. Teoh,et al.  Palmprint Recognition with PCA and ICA , 2003 .

[8]  David L. Donoho,et al.  Curvelets, multiresolution representation, and scaling laws , 2000, SPIE Optics + Photonics.

[9]  A.W.K. Kong,et al.  Analysis of Brute-Force Break-Ins of a Palmprint Authentication System , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[10]  David Zhang,et al.  A New Approach to Personal Identification in Large Databases by Hierarchical Palmprint Coding with Multi-features , 2004, ICBA.

[11]  Helen C. Shen,et al.  Personal Verification Using Palmprint and Hand Geometry Biometric , 2003, AVBPA.

[12]  David Zhang,et al.  Palmprint Authentication Technologies, Systems and Applications , 2004, SINOBIOMETRICS.

[13]  Alfred C. Weaver,et al.  Biometric authentication , 2006, Computer.

[14]  Guido Governatori,et al.  Agent Computing and Multi-Agent Systems, 10th Pacific Rim International Conference on Multi-Agents, PRIMA 2007, Bangkok, Thailand, November 21-23, 2007. Revised Papers , 2009, PRIMA.

[15]  Larry L. Schumaker,et al.  Curve and Surface Fitting: Saint-Malo 1999 , 2000 .

[16]  David Zhang,et al.  A Novel Personal Authentication System Using Palmprint Technology , 2005, PReMI.

[17]  Zhi-Kai Huang,et al.  Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network , 2006, ISNN.

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

[19]  Wei Jiang,et al.  A Novel Palmprint Recognition Algorithm Based on PCAaFLD , 2006 .

[20]  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).

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

[22]  Jakob Sternby.  On-Line Signature Verification by Explicit Solution to the Point Correspondence Problem , 2004 .

[23]  Chao Wang,et al.  Palmprint Recognition Based on Improved 2DPCA , 2006, PRIMA.

[24]  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.

[25]  S.A. Khan,et al.  Wavelet based palmprint authentication system , 2008, 2008 International Symposium on Biometrics and Security Technologies.

[26]  Geoffrey I. Webb,et al.  PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings , 2006, PRICAI.

[27]  Sharath Pankanti,et al.  Advances in Biometric Person Authentication, International Workshop on Biometric Recognition Systems, IWBRS2005, Beijing, China, October 22-23, 2005, Proceedings , 2005, IWBRS.

[28]  Mark J. T. Smith,et al.  Directional filter bank-based fingerprint feature extraction and matching , 2004, IEEE Transactions on Circuits and Systems for Video Technology.