RECOGNITION FINGERPRINT BASED ON GABOR FEATURES EXTRACTION

  • Wafaa Mohammed Ali University of Thi-Qar,College of Veterinary Medicine
  • Hawraa Hassan Yassen Education Directorate of Thi-Qar, Ministry of Education, Iraq
  • Saad O. Ajmi Al-Shuwaili Education Directorate of Thi-Qar, Ministry of Education, Iraq
  • Mustafa A. Naser Education Directorate of Thi-Qar, Ministry of Education, Iraq
Keywords: Gabor Features, Fingerprint hash, Gabor filter, AFIS

Abstract

In this paper, we present a novel algorithm to identify an individual person using fingerprint matching technique. We use fingerprint segmentation and Gabor filter to extract Gabor features from a finger image We use our fingerprint hash and Gabor filter to extract Gabor features from fingerprint image captured by the sensor in JPG format. The proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher.

References

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Published
2023-04-05
How to Cite
Ali, W. M., Yassen, H. H., Al-Shuwaili, S. O. A., & Naser, M. A. (2023). RECOGNITION FINGERPRINT BASED ON GABOR FEATURES EXTRACTION. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(4), 1-6. https://doi.org/10.17605/OSF.IO/9KBXE
Section
Articles