Palmprint recognition using DWT, DCT and PCA techniques

Palmprint recognition is physiological biometric method used for recognition of person. It consists of various features like texture, statistical, line, point, geometry features which are used separately or by the combination of two or more features for quick and correct recognition purpose. The proposed method Palmprint Recognition using DWT and DCT with PCA technique (PRDDP) is simple and effective methodology for palmprint recognition. In it preprocessing used for palmprint image alignment, to resize the palmprint image and to enhance contrast of palmprint image by using histogram equalization. DCT and DWT used to generate features and that features are extracted by using PCA. And the extracted features, from database images and test images, are match by using ED.

[1]  V. K. Govindan,et al.  Palmprint authentication using fusion of wavelet based representations , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

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

[3]  Zhenhua Guo,et al.  Feature Band Selection for Multispectral Palmprint Recognition , 2010, 2010 20th International Conference on Pattern Recognition.

[4]  Mayank Sharma,et al.  Palmprint Recognition Using Image Processing , 2011 .

[5]  Zhenhua Guo,et al.  Multispectral Palmprint Recognition Using Quaternion Principal Component Analysis , 2010, 2010 International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics.

[6]  David Zhang,et al.  Competitive coding scheme for palmprint verification , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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

[8]  Zohaib Khan,et al.  Contour Code: Robust and efficient multispectral palmprint encoding for human recognition , 2011, 2011 International Conference on Computer Vision.

[9]  K. B. Raja,et al.  Palmprint Identification Using Transform Domain and Spatial Domain Techniques , 2012, 2012 International Conference on Computing Sciences.

[10]  David Zhang,et al.  On-Line Palmprint Identification , 2005 .

[11]  Dewen Hu,et al.  Image fusion of palmprint and palm vein: Multispectral palm image fusion , 2010, 2010 3rd International Congress on Image and Signal Processing.

[12]  David Zhang,et al.  Contactless and Pose Invariant Biometric Identification Using Hand Surface , 2011, IEEE Transactions on Image Processing.

[13]  Dario Maio,et al.  A Fast and Accurate Palmprint Recognition System Based on Minutiae , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[14]  Jianjiang Feng,et al.  Robust and Efficient Ridge-Based Palmprint Matching , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.