Short Communication Development and Evaluation of Combined Wavelet Based Palmprint Identification System

Short Communication: Palmprint Identification System

Authors

  • Atif Bin Mansoor CASE, University of Engineering & Technology, Taxila, Pakistan
  • Hassan Masood CAE, National University of Science and Technology, H-12, Islamabad, Pakistan
  • Mustafa Mumtaz CAE, National University of Science and Technology, H-12, Islamabad, Pakistan
  • Shoab Ahmad Khan CASE, University of Engineering & Technology, Taxila, Pakistan

Keywords:

biometrics, palmprint, wavelet transform, distance transform

Abstract

Palmprint based identification is fairly recent biometric modality gaining popularity due to its traits like user comfort, reliability and easy acquisition. A wavelet based palmprint identification system has been proposed. Euclidean distance based classification is performed using Biorthogonal, Symlet and Discrete Meyer wavelets on 500 palmprints obtained from 50 users for individual and combined features, employing locally developed acquisition platform. An equal error rate (EER) of 0.0217 and genuine acceptance rate (GAR) of 97.12% demonstrate the effectiveness of the combined system.

 

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Published

2019-05-07

How to Cite

Mansoor, A. B., Masood, H., Mumtaz, M., & Khan, S. A. (2019). Short Communication Development and Evaluation of Combined Wavelet Based Palmprint Identification System: Short Communication: Palmprint Identification System. Biological Sciences - PJSIR, 53(4), 198–200. Retrieved from https://v2.pjsir.org/index.php/biological-sciences/article/view/455

Issue

Vol. 53 No. 4 (2010): Pakistan Journal of Scientific and Industrial Research

Section

Articles