Finger knuckle recognition, a review on prospects and challenges based on PolyU dataset

  • Dua'a Hamed AL-Janabi College of Computer Science and Information Technology, University of Al-Qadisiyah, Iraq
  • Ali Mohsin AL-Juboori College of Computer Science and Information Technology, University of Al-Qadisiyah, Iraq
Keywords: Finger knuckle(FK), Finger knuckle external surface, Biometrics, recognition, Identification system

Abstract

        In the previous few years, Finger knuckle (Fk) has received a lot of interest as a biometric trait in recent years. It will provide economic human identification performance due to its distinct difference between human-specific alternatives of visible lines, wrinkles, and ridges spread on the surface external of all finger knuckles. The foundation for most biometric systems is Fks. This report presents a thorough analysis of the pertinent Finger knuckle investigations. The foundation for most biometric systems is Fks. The identification system through finger knuckles usually contents of 4 steps, specifically image Acquisition, image preprocessing, feature extraction, and have matched. There are numerous methods used during this research at each level. The paper is likely to highlight these methods used in the PolyU database

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Published
2022-12-02
How to Cite
AL-Janabi, D., & AL-Juboori, A. (2022). Finger knuckle recognition, a review on prospects and challenges based on PolyU dataset. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(4), Comp Page 66-73. https://doi.org/10.29304/jqcm.2022.14.4.1087
Section
Computer article