An Elucidation of Palm Print Recognition Techniques Using Probabilistic and Computational Paradigms

Authors

  • Muhammad Khalid Mahmood University of the Punjab
  • Daud Ahmad University of the Punjab

DOI:

https://doi.org/10.21015/vtse.v10i1.926

Abstract

In this article different state of art palm print recognition techniques have been discussed. Furthermore, various aspects of palm print recognition methodologies pertaining to feature extraction and representation are elaborated. Various researchers have developed and used diverse databases for the purpose of experimentation and probing their methods. This article provides an analysis on each set of methodologies in terms of different parameters such as efficiency, accuracy and effectiveness. The comparative analysis provides several benchmarks to quantify the usefulness of each technique and determine the tradeoffs in terms of cost and effectiveness.

Keywords: Linear Discriminant Analysis, Phase Congruency, Component Analysis, Spectral Minutiae Representation.

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Published

2022-03-07

How to Cite

Mahmood, M. K., & Ahmad, D. (2022). An Elucidation of Palm Print Recognition Techniques Using Probabilistic and Computational Paradigms. VFAST Transactions on Software Engineering, 10(1), 30–38. https://doi.org/10.21015/vtse.v10i1.926

Issue

Vol. 10 No. 1 (2022): January-March

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