Dorsal Vein Recognition System Using Texture Features

Authors

  • Jayamala Kumar Patil Bharati Vidyapeeth’s College of Engineering, Kolhapur-416013, INDIA
  • Sampada Abhijit Dhole Bharati Vidyapeeth’s College of Engineering for Women, Pune -411043, INDIA
  • Vinay Sampatrao Mandlik Bharati Vidyapeeth’s College of Engineering, Kolhapur-416013, INDIA
  • S. M. Jagdale Bharati Vidyapeeth’s College of Engineering for Women, Pune -411043, INDIA
  • Roma Rakesh Jain Bharati Vidyapeeth’s College of Engineering for Women, Pune -411043, INDIA
  • Vinod H. Patil Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune-411043, INDIA

Keywords:

Biometric, Feature extraction, Feature matching, Dorsal vein

Abstract

Biometric technology will be employed to establish individual authenticity, with Dorsal Palm vein recognition serving as the method for identifying individuals based on their Dorsal vein image. This technique proves instrumental in recognizing a person's image within secure systems. Vein patterns exhibit significant variability among individuals, remaining stable and unaffected by the ageing process, with no substantial changes observed in adults. Since veins are internal, the system's integrity is heightened, remaining impervious to external skin conditions. The vein pattern recognition software interprets vessel patterns of black lines on the palm. It conducts a comparison between the translated vein pattern and a pre-registered template pattern. The paper delves into the extraction of minutiae points, marked as features. Palm vein recognition finds application in various sectors, including Security Systems, Log-in Control, Healthcare, Banking and Financial Services, etc.

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References

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Published

24.03.2024

How to Cite

Patil, J. K. ., Dhole, S. A. ., Mandlik, V. S. ., Jagdale, S. M. ., Jain, R. R. ., & Patil, V. H. . (2024). Dorsal Vein Recognition System Using Texture Features . International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 214–221. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5133

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Research Article

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