Palm Recognition Using Hybrid Algorithm

Authors

  • Preeti Sehgal Computer Science and Engineering Department, Rawal Institute of Engineering and Technology, Faridabad, Haryana, India
  • DR. Bhupesh Computer Science and Engineering Department, Rawal Institute of Engineering and Technology, Faridabad, Haryana, India

DOI:

https://doi.org/10.37591/joipprp.v2i3.449

Keywords:

Acquisition, median filter, segmentation, clustering, SVM, LBP

Abstract

Biometric system is becoming more popular and increasingly important, since they provide more reliable and accurate means of identification. Now a days biometrics system is used almost everywhere for identification. In Japan, banks have used the palm vein authentication technology for customer identification since July 2004. In addition, Fujitsu has integrated the technology into the access control of electronic door lock systems. Their system has a false acceptance rate of less than 0.00008% and a false rejection rate of 0.01%. In this paper, biometric user recognition system based on palm print has been proposed. The proposed system attempts to reduce the complexity of palm vein authentication system. The proposed system is implemented using MATLAB and hybrid algorithm which reduces the complexity and thereby increases the performance. The system has an average 95.7% recognition rate. This research work is an attempt to propose such a system that can bring out a reduced complexity for palm vein recognition. Palm vein recognition is easily implemented using a hybrid algorithm which reduces complexity thereby increases performance. The performance analysis is done using CASIA database.

References

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Published

2015-10-08

Issue

Vol. 2 No. 3 (2015)

Section

Research Articles

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