CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Hand Vein Detection using Infrared Light for Web based Account

by Sakthivel G
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 10
Year of Publication: 2015
Authors: Sakthivel G
10.5120/19703-1511

Sakthivel G . Hand Vein Detection using Infrared Light for Web based Account. International Journal of Computer Applications. 112, 10 ( February 2015), 17-21. DOI=10.5120/19703-1511

@article{ 10.5120/19703-1511,
author = { Sakthivel G },
title = { Hand Vein Detection using Infrared Light for Web based Account },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 10 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number10/19703-1511/ },
doi = { 10.5120/19703-1511 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:49:06.936456+05:30
%A Sakthivel G
%T Hand Vein Detection using Infrared Light for Web based Account
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 10
%P 17-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The most common account based password used for authentication is Textual passwords. But Textual passwords are in risk to phishing attack, burette force attack, social engineering and shoulder surfing. Biometrics is used for human recognition which consists of authentication, verification and recognition. Biometric passwords are introduced as alternative techniques to textual passwords. Many biometric systems exist today by using fingerprint, face, iris, etc but risk to duplicating a fake (For e. g. :- "fingerprint-gummy finger"). Palm vein authentication is one of the modern biometric techniques, which employs the vein pattern in the human palm to verify the person. The merits of palm vein on classical biometric (e. g. fingerprint, iris, face) are a low risk of falsification, difficulty of duplicated and stability. In this propose method, detecting a hand vein by using Near Infrared (NIR) Light method for web based account. A CCD camera will capture the image of person's palm vein region. The captured image will process through Mat lab software and emphasize to get vein structure. The detected palm vein structure which acts as a password for web based account for password security.

References
  1. Virginia Ruiz-Albacete, Pedro Tome-Gonzalez, Fernando Alonso-Fernandez, Javier Galbally, Julian Fierrez, and Javier Ortega-Garcia " Direct attacks using fake images in iris verification" B. Schouten et al. (Eds. ): BIOID 2008, LNCS 5372, pp. 181–190, 2008. ©_Springer-Verlag Berlin Heidelberg 2008.
  2. Xiaofu He, Yue Lu, and Pengfei Shi a "New Fake Iris Detection Method" M. Tistarelli and M. S. Nixon (Eds. ): ICB 2009, LNCS 5558, pp. 1132–1139, 2009. © Springer-Verlag Berlin Heidelberg 2009.
  3. T. Matsumoto, H. Matsumoto, K. Yamada, and S. Hoshino, "Impact of artificial gummy fingers on fingerprint systems", Proc. SPIE, pp. 275–289, 2002.
  4. D. Maltoni, D. Maio, A. Jain, and S. Prabhakar, Handbook of "Fingerprint Recognition". New York, NY, USA: Springer-Verlag, 2009.
  5. J. Galbally, J. Fierrez, F. Alonso-Fernandez and M. Martinez-Diaz "Evaluation of direct attacks to fingerprint verification systems" Published online: 26 May 2010 © Springer Science+Business Media, LLC 2010.
  6. Osten, D. , Arneson, H. M. , & Blan, B. L. (1998). "Biometric personal authentication system". US Patent.
  7. J. Galbally, F. Alonso-Fernandez, J. Fierrez, and J. Ortega-Garcia, "A high performance fingerprint liveness detection method based on quality related features", Future Generat. Comput. Syst. , vol. 28, no. 1,pp. 311–321, 2012.
  8. A. K. Jain, P. Flynn, and A. A. Ross. "Handbook of Biometrics". Springer, 2008.
  9. J. Li, Y. Wang, T. Tan, and A. K. Jain. "Live face detection based on the analysis of Fourier spectra". In Biometric Technology for Human Identification, pages 296–303, 2004.
  10. K. Nixon, V. Aimale, and R. Rowe. "Spoof detection schemes". In X, editor, Handbook of Biometrics, pages 403–4239. X, 2008.
  11. Osten, D. , Arneson, H. M. , & Blan, B. L. (1998). "Biometric personal authentication system". US Patent.
  12. Yingbo Zhou, Ajay Kumar, Senior member of IEEE, "Human identification using palm vein images", IEEE transactions on information forensics and security ,vol. 6, no. 4 (2011)
  13. Wang, L. and Leedham, G. (2005) "A thermal hand vein pattern verification system". In: Lecture notes in Computer Science, Springer Berlin / Heidelberg
  14. Sandstrom, M. (2004) " Liveness Detection in Fingerprint Recognition Systems", Department of Electrical Engineering, Linkoping Institute of Technology, Institutionen For systemteknik, Linkoping
  15. Jain, A. , Bolle, R. M. and Pankati, S. (1999) Ch. 1 "Introduction to Biometrics". In Biometrics - Personal Identification in Networked Society (Jain, A. , Bolle, R. M. And Pankati, S. , eds. ), pp. 1-41, Kluwer Academic Publishers Boston/Dordrecht/london
  16. S. Prabhakar, S. Pankanti, and A. K. Jain. Biometric Recognition: "Security and Privacy Concerns", IEEE Security and Privacy, Vol. 1, No. 2, pp. 33-42, 2003.
  17. Shigeru Sasaki, and Akira Wakabayashi, "Business Expansion of Palm Vein Pattern Authentication Technology", Fujitsu Sci. Tech. J. , 41, 3, pp. 341-347, 2005.
  18. "Palm Vein Pattern Authentication Technology", Fujitsu white paper, 2005.
  19. Hao luo,Fa-Xin Yu,Jeng-Shyang Pan,Shu-Chuan Chu and Pei-Wei Tsai, "A Survey of Vein Recognition Techniques", information technology Journal,vol. 9,no6,pp. 11421-1149, 2010.
  20. Bhudev Sharma, "Palm Vein Technology". Sarda Vallabhbhai National Institute of Technology, December-2010.
  21. Ishani Sarkar, Farkhod Alisherov, Tai-hoon Kim, and Debnath Bhattacharyya, "Palm Vein Authentication System: A Review, International Journal of Control and Automation", Vol. 3, No. 1, pp. 27-34, March, 2010.
  22. Yingbo Zhou and Ajay Kumar, "Human Identification Using Palm-Vein Images",IEEE transactions on information forensics and security, vol. 6, no. 4,pp. 1259-1247, December 2011.
  23. Y. -B. Zhang, Q. Li, J. You, and P. Bhattacharya, "Palm vein extraction and matching for personal authentication", in Lecture Notes in Computer Science. Springer, pp. 154–164. , 2007.
  24. Yingbo Zhou and Ajay Kumar, "Contactless Palm Vein Identification using Multiple Representations", in 4th IEEE international conference on biometrics: Theory applications and systems (BTAS), pp. 1-6, September2010
  25. Pierre-Olivier Ladoux, Christophe Rosenberger and Bernadette Dorizzi, "Palm Vein Verification System based on SIFT matching" Third International Conference on Advances in Biometrics, pp. 1290-1298,June 2009.
  26. Fujitsu Computer Products of America, Inc. , www. fcpa. fujitsu. com –White Paper –"Palm Vein Authentication Technology ". 2006.
  27. L. Wang and C. G Leedham, "A Thermal Hand Vein Pattern Verification System", In Lecture a Notes in Computer Science, Springer, 2005.
  28. "Edge Detection Techniques Evaluations and Comparisons". Ehsan Applied Mathematical Sciences, Vol. 2, 2008, no. 31, 1507 - 1520.
  29. "Segmentation Techniques for Image Analysis" IJAERS/Vol. I/ Issue II/January-March, 2012
  30. Chin-Chuan Hana; Hsu-Liang Chengb, Chih-Lung Linb and Kuo-Chin Fanb, ?"Personal authentication using palm-vein features", aiwan, Republic of China Received 21 December 2001.
Index Terms

Computer Science
Information Sciences

Keywords

Biometric Near- Infrared Image Normalization Binarization Filtering Image segmentation Pattern Thinning Matching.

Powered by PhDFocusTM