An Improved Multimodal Palm Vein Recognition System Using Shape and Texture Features

1 Abstract—Multimodal analysis of palm vein for biometric authentication has been carried out and presented in this paper. The proposed system is based on parallel mode multiple feature analysis and multilevel fusion. The directional information of the palm vein has been considered for better analysis. The developed multimodal palm vein recognition system has very low value of matching error rate and false acceptance or rejection rate. Index Terms—Palm vein recognition, Multimodal Biometrics, Feature subset selection, ASFFS, FAR, FRR

[1]  Chandrika Kamath,et al.  Image Analysis for Validation of Simulations of a Fluid Mix Problem , 2007, 2007 IEEE International Conference on Image Processing.

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

[3]  Henry P. Kramer,et al.  Iterations of a non-linear transformation for enhancement of digital images , 1975, Pattern Recognit..

[4]  L. Spaanenburg,et al.  Vein Feature Extraction Using DT-CNNs , 2006, 2006 10th International Workshop on Cellular Neural Networks and Their Applications.

[5]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[6]  Toshio Endoh,et al.  Palm vein authentication technology and its applications , 2005 .

[7]  Lingyu Wang,et al.  A Thermal Hand Vein Pattern Verification System , 2005, ICAPR.

[8]  Kejun Wang,et al.  A study of hand vein recognition method , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[9]  Pavel Paclík,et al.  Adaptive floating search methods in feature selection , 1999, Pattern Recognit. Lett..

[10]  Kuo-Chin Fan,et al.  Biometric verification using thermal images of palm-dorsa vein patterns , 2004, IEEE Trans. Circuits Syst. Video Technol..

[11]  Yehoshua Y. Zeevi,et al.  Image enhancement and denoising by complex diffusion processes , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Mount Lawley.  Thermographic Imaging of the Subcutaneous Vascular Network of the Back of the Hand for Biometric Identification , 1995 .

[13]  Joachim Weickert,et al.  Coherence-Enhancing Diffusion Filtering , 1999, International Journal of Computer Vision.

[14]  O. Lepetit,et al.  Contact less hand recognition using shape and texture features , 2006, 2006 8th international Conference on Signal Processing.

[15]  Chih-Lung Lin,et al.  Biometric verification using thermal images of palm-dorsa vein patterns , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Yehoshua Y. Zeevi,et al.  Regularized Shock Filters and Complex Diffusion , 2002, ECCV.

[17]  Ahmed M. Badawi,et al.  Biometric Authentication Using Fast Correlation of Near Infrared Hand Vein Patterns , 2008 .

[18]  No Value,et al.  IEEE International Conference on Image Processing , 2003 .

[19]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[20]  Gang Dong,et al.  Fingerprint Image Enhancement by Diffusion Processes , 2006, 2006 International Conference on Image Processing.

[21]  Weiping Chen,et al.  A Performance Evaluation of Shape and Texture Based Methods for Vein Recognition , 2008, 2008 Congress on Image and Signal Processing.

[22]  Wei-Yun Yau,et al.  Fusion of Palmprint and Palm Vein Images for Person Recognition Based on "Laplacianpalm" Feature , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.