Approach for Recognition of a Person Based on Its Palm Vein Pattern

Authors(2) :-Praveen Kaundal, Dr. Sukhwinder Singh

Biometric refers to the technology, which works on the human appearance, fingerprints, palm patterns etc. Palm pattern recognition system is the part of the biometric system, which identifies the individual on the bases of internal structure of blood vessel. Near infrared light device is used to acquire the image of internal structure of blood vessel because light in the 700 to 1000 nm (infrared light) ranges can penetrate human skin. Gabor filter is used for image enhancement for clear visualization of internal structure of vein structure. Development of fuzzy set rule for the purpose of edge detection on the bases of these rule edges is obtained. Detection of missing edges is obtained by applying Stephen Harris corner detection technique. The purpose worked shows the high accuracy and results as compare to the Laplacian Palm method, SIFT method, and canny edge method.

Authors and Affiliations

Praveen Kaundal
Department of E.C.E, PEC, University of Technology, Chandigarh, India
Dr. Sukhwinder Singh
Department of E.C.E, PEC, University of Technology, Chandigarh, India

Edge Detection, Fuzzy Logic, Harris Stephen, Gabor, Knn

  1. Ahmed, M.A., El-Horbaty, E.S.M. and Salem, A.B.M., 2015. Intelligent techniques for matching palm vein images. Egyptian Computer Science Journal39(1).
  2. Deepti, K.R., R. V., 2013. “Palm Vein Technology”, International Journal of Computer Engineering & Applications, Vol.2,Pp:148-156.
  3. Elnasir, S. and Shamsuddin, S.M., 2014, August. Proposed scheme for palm vein recognition based on Linear Discrimination Analysis and nearest neighbour classifier. In Biometrics and Security Technologies (ISBAST), 2014 International Symposium on (pp. 67-72). IEEE.
  4. Iula, A., Savoia, A. and Caliano, G., 2012, October. 3D Ultrasound palm vein pattern for biometric recognition. In Ultrasonics Symposium (IUS), 2012 IEEE International (pp. 1-4). IEEE.
  5. Jiaqiang, W., Ming, Y., Hanbing, Q. and Bin, L., 2013, June. Analysis of palm vein image quality and recognition with different distance. In Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on (pp. 215-218). IEEE.
  6. Kang, W. and Wu, Q., 2014. Contactless palm vein recognition using a mutual foreground-based local binary pattern. IEEE transactions on Information Forensics and Security9(11), pp.1974-1985.
  7. Li, P., Miao, Z. and Wang, Z., 2014, October. Fusion of palmprint and palm vein images for person recognition. In Signal Processing (ICSP), 2014 12th International Conference on (pp. 2407-2410). IEEE.
  8. Lin, S. and Tai, Y., 2015, October. A combination recognition method of palmprint and palm vein based on gray surface matching. In Image and Signal Processing (CISP), 2015 8th International Congress on (pp. 567-571). IEEE.
  9. Luo, H., Yu, F.X., Pan, J.S., Chu, S.C. and Tsai, P.W., 2010. A survey of vein recognition techniques. Information Technology Journal9(6), pp.1142-1149.
  10. Mirmohamadsadeghi, L. and Drygajlo, A., 2014. Palm vein recognition with local texture patterns. Iet Biometrics3(4), pp.198-206.
  11. Mohan, M., Saxena, J., Teckchandani, K., Pandey, P., Dutta, M.K., Travieso, C.M. and Alonso-Hernandez, J.B., 2015, June. Palm Vein Recognition using Local Tetra Patterns. In Bioinspired Intelligence (IWOBI), 2015 4th International Work Conference on (pp. 151-156). IEEE.
  12. Pratiwi, A.Y., Budi, W.T.A. and Ramadhani, K.N., 2016, May. Identity recognition with palm vein feature using local binary pattern rotation Invariant. In Information and Communication Technology (ICoICT), 2016 4th International Conference on (pp. 1-6). IEEE.
  13. Rahul, R.C., Cherian, M. and Mohan, M., 2015, December. A novel MF-LDTP approach for contactless palm vein recognition. In Computing and Network Communications (CoCoNet), 2015 International Conference on (pp. 793-798). IEEE.
  14. Raut, S.D. and Humbe, V.T., 2014. Review of biometrics: palm vein recognition system. IBMRD's Journal of Management & Research3(1), pp.217-223.
  15. Raut, S.D. and Humbe, V.T., 2015, December. Palm vein recognition system based on corner point detection. In Electrical and Computer Engineering (WIECON-ECE), 2015 IEEE International WIE Conference on (pp. 499-502). IEEE.
  16. Rizki, F., Wirayuda, T.A.B. and Ramadhani, K.N., 2016, August. Identity recognition based on palm vein feature using two-dimensional linear discriminant analysis. In Information Technology, Information Systems and Electrical Engineering (ICITISEE), International Conference on (pp. 21-25). IEEE.
  17. Sierro, A., Ferrez, P. and Roduit, P., 2015, September. Contact-less palm/finger vein biometrics. In Biometrics Special Interest Group (BIOSIG), 2015 International Conference of the (pp. 1-12). IEEE.
  18. Singla, D. and Alisha, E., 2015. A Review on: Palm Vein Technology. International Journal of Engineering Research and General Science3(2), pp.397-402.
  19. Tome, P. and Marcel, S., 2015, May. On the vulnerability of palm vein recognition to spoofing attacks. In Biometrics (ICB), 2015 International Conference on (pp. 319-325). IEEE.
  20. Vaid, S. and Mishra, D., 2015, June. Comparative analysis of palm-vein recognition system using basic transforms. In Advance Computing Conference (IACC), 2015 IEEE International (pp. 1105-1110). IEEE.
  21. Wang, P. and Sun, D., 2016, November. A research on palm vein recognition. In Signal Processing (ICSP), 2016 IEEE 13th International Conference on (pp. 1347-1351). IEEE.
  22. Wirayuda, T.A.B., 2015, August. Palm vein recognition based-on minutiae feature and feature matching. In Electrical Engineering and Informatics (ICEEI), 2015 International Conference on (pp. 350-355). IEEE.

Publication Details

Published in : Volume 3 | Issue 5 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 237-241
Manuscript Number : IJSRSET173446
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Praveen Kaundal, Dr. Sukhwinder Singh, " Approach for Recognition of a Person Based on Its Palm Vein Pattern, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 5, pp.237-241, July-August-2017.
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