Feature Extraction of Dorsal Hand Vein Pattern Using a Fast Modified PCA Algorithm Based On Cholesky Decomposition and Lanczos Technique
Dorsal hand vein pattern is an emerging biometric which is attracting the attention of researchers, of late. Research is being carried out on existing techniques in the hope of improving them or finding more efficient ones. In this work, Principle Component Analysis (PCA) , which is a successful method, originally applied on face biometric is being modified using Cholesky decomposition and Lanczos algorithm to extract the dorsal hand vein features. This modified technique decreases the number of computation and hence decreases the processing time. The eigenveins were successfully computed and projected onto the vein space. The system was tested on a database of 200 images and using a threshold value of 0.9 to obtain the False Acceptance Rate (FAR) and False Rejection Rate (FRR). This modified algorithm is desirable when developing biometric security system since it significantly decreases the matching time.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070861Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1514
 C.Lin and K.Fan, "Biometric Verification Using Thermal Images of Palm- Dorsa Vein Patterns", IEEE Transactions on Circuit and Systems for Video Technology, Vol 14, No.2,2004.
 J.Cross and C.Smith, "Thermographic Imaging of Subcutaneous Vascular Network of the Back of the Hand for Biometric Identification" ,IEEE 29th Annual 1995 International Carnahan Conference,pg. 20-35, 1995.
 W.Lingyu and G.Leedham, " Near- and- Far- Infrared Imaging for Vein Pattern Biometrics", Proceedings of the IEEE International Conference on Video and Signal Based Surveillance, 2006.
 L.Chen, H.Zheng, L.Li, P.Xie and S.Lui, "Near-infrared Dorsal Hand Vein Image Segmentation by Local Thresholding Using Grayscale Morphology", The 1st International Conference on Bioinformatics and Biomedical Engineering, Pg. 868- 871, 2007.
 A.Badawi, "Hand Vein Biometric Verification Prototype: A Testing Performance and Patterns Similarity", In Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, USA, June 26-29, 2006.
 M.Turk and A.Pentland, "Face Recognition Using Eigenfaces",IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Pg 586-591,3-6 Jun 1991.
 I.Dagher, W.Kobersy and W.Nader" Human Hand Recognition using IPCA-ICA Algorithm" , EURASIP Journal on Advances in signal processing, vol 2007.
 M.Heenaye-Mamode Khan, R.K.Subramanian and N. Mamode Khan, "Low dimensional representation of dorsal hand vein features using Principle Component Analysis" , In the Proceedings of World Academy of Science, Engineering and Technology, Pg 1091- 1097, Dubai, United Arabs Emirates, Volume 37,ISSN 2070- 3740, January 28-30, 2009
 M. Heenaye- Mamode Khan, R.K.Subramanian R.K., and N. Mamode Khan. "Representation of Hand Dorsal Vein Features Using a low Dimensional Representation Integrating Cholesky Decomposition", In the IEEE 2nd International Congress on Image and Signal Processing, Tianjin, China, Vol.3, 17-19 October 2009.
 Y.Saad, "Numerical Methods for Large Eigenvalue Problems" ,ISBN 0-470-21820 http://users.cs.umn.edu/ saad/books.html
 D.Calvetti, L.Reichel, and D.C.Sorrrensen, " An implicitly Restarted Lanczos Method for Large Symmetric Eigenvalue Problems" , 1994. (http://etna.mcs.kent.edu/vol.2.1994/pp1-21.dir/pp1-21.ps)
 S. Zhao, Y.Wang and Y.Wang,"Extracting Hand Vein Patterns from Low- Quality Images: A New Biometric technique Using Low-Cost Devices" , IEEE 4th International Conference on Image and Graphics, 2007
 L. Wang, G.KLeedham and D.Cho,"Minutiae feature analysis for infrared hand vein pattern biometrics", The Journal of the pattern recognition society, Pg. 920-929, Volume 41 ,Issue 3, ISSN:0031-3203, March 2008.
 M.Shahin, A.M. Badawi and M.Kamel,"Biometric Authentication Using Fast Correlation of Near Infrared Hand Vein Patterns", Volume 2,Number 3, 2007.
 M.K.Shahin, A.M. Badawi and M.E.Rasmy, "A Multimodal Hand Vein, Hand Geometry, and Fingerprint prototype design for high security biometrics" , In the Proceedings of CIBEC-08, 2008.
 M.Sonka, V.Hlavac, R.Boyle, "Image Processing: Analysis and Machine Vision, Thomson- Engineering",2nd Edition, September 1998.
 S.Zhao, Y.Wang,and Y.Wang,Y, "Extracting Hand Vein Patterns from Low-Quality Images: A New Biometric technique Using Low-Cost Devices", IEEE, 4th International Conference on Image and Graphics, 2007
 T. Chin and D. Suter. "A study of the Eigenface Approach for Face Recognition", Technical Report MECSE-6, 2004