IMPLEMENTATION ON BIOMETRICS BASED SECURITY IN PAYOUT WITHDRAW SYSTEM IN MLM

Authors

  • Meenakshi Research Scholar, Indus Institute of Engineering & Technology
  • Abhishek Bhatnagar Head CSE, Indus Institute of Engineering and Technology

Keywords:

recognition, reliability, analyze, glitches, research area

Abstract

Multi-level marketing (MLM) is a marketing strategy in which sales force is compensated not only for sales they generate, but also for sales of other salespeople that they recruit. Multi-level marketing (MLM) is a controversial marketing strategy in which sales force is compensated not only for sales they generate, but also for sales of other salespeople that they recruit. Thus palm print recognition is a very interesting research area. A lot of work had already been done in this area, but there is still a lot of scope to make systems more efficient. Here, we had tried to analyze already existing systems & thereby propose a new approach. During this instance of time, several different glitches related to palm print recognition have been addressed. Furthermost of the studies has been done in palm print recognition due to its stability, reliability and exclusivity.

References

WU X. Q., Wang K. Q and Zhang D., “Palm print Recognition Using Valley Features”, 4th International Conference on Machine Learning and Cybernetics, Vol. 8, pp 4881-4885, 2005.

Kong W. K. and Zahng D., “Competitive Coding Scheme for Palmprint Verification”, 17th International Conference on Pattern Recognition, Vol. 1, pp 520-523, 2004.

Goh M., Connie T., Teoh A. B. and Ngo D. C., “A Fast Palm Print Verification System”, International Conference on Computer Graphics, Imaging and Visualization, pp 168-172, 2006.

Smith S. M. and Brady J. M., “SUSAN – A New Approach to How Level Image Processing”, International Journal of Computer Vision, Vol. 23(1), pp 45-78, 1997.

Ho K. H. and Ohnishi N., “FEDGE – Fuzzy Edge Detection by Fuzzy Categorization and Classification of Edges”, Lecture Notes in Computer Science, Workshop on Fuzzy Logic in Artificial Intelligence, Vol. 1188, pp 182-196, 1995.

Madasu V. K and Vasikarla S., “Fuzzy Edge Detection in Biometric Systems”, 36th Applied Imagery Pattern Recognition Workshop, pp 139-144, 2007.

Downloads

Published

31-03-2017

How to Cite

Meenakshi, & Abhishek Bhatnagar. (2017). IMPLEMENTATION ON BIOMETRICS BASED SECURITY IN PAYOUT WITHDRAW SYSTEM IN MLM. International Journal for Research Publication and Seminar, 8(2), 7–12. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1009

Issue

Section

Original Research Article

Most read articles by the same author(s)