Survey of Palm Print Detection Techniques

  • Noora Hadi Naji College of Computer Science and Information Technology, The University of Al-Qadisiyah, Al Diwaniyah, Iraq
  • Ali Mohsin Al-Juboor College of Computer Science and Information Technology, The University of Al-Qadisiyah, Al Diwaniyah
Keywords: Palm print, segmentation, machine learning, artificial neural networks, convolutional neural network, support vector machine, image processing, artificial intelligence

Abstract

Todays, there are various of systems that requires high-level security methods. Due to the sophisticated methods of breaking the traditional security methods. One of the most advanced methods nowadays is handprint validation. Which is based on the features of the palm in hands. These feature could include the lines, valleys, hand texture, and other features. In this work, a survey of the latest works that are used for palm print detection and recognition

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References

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Published
2022-12-02
How to Cite
Naji, N., & Al-Juboor, A. (2022). Survey of Palm Print Detection Techniques. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(4), Comp Page 74-81. https://doi.org/10.29304/jqcm.2022.14.4.1088
Section
Computer article