Fingerprint Recognition Based on Gabor Features Extraction

Authors

  • Kadhim H. Kuban Alibraheemi University of Thi-Qar, College of Education for Pure Science, Computer Science Department
  • Saad O. Ajmi Al-Shuwaili Ministry of Education, Thi-Qar Education Directorate

DOI:

https://doi.org/10.32792/jeps.v10i2.68

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 JPG image format. The proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of   fingerprint matcher and The work was carried out using an HP computer with specifications Core i7, Hard 500 GB and 4 GB RAM. using the language of Matlab 2013

References

- Wang Yuan1 Yao Lixiu1 Zhou Fuqiang2" A Real Time Fingerprint Recognition System Based On Novel Fingerprint Matching Strategy " 4244-1135-1/07/$25.00 ©2007 IEEE.

- Muhammad Umer Munir and Dr. Muhammad Younas Javed " Fingerprint Matching using Gabor Filters " National Conference on Emerging Technologies 2004.

- Neeraj Bhargava, and Ph.D. Ritu Bhargava “Fingerprint Matching using Ridge-End and Bifurcation Points "International Conference in Recent Trends in Information Technology and Computer Science (ICRTITCS - 2012).

- Doha Hwang, Hojae Lee, Geuntae Bae, Sunghoon Son, Jongseok Kim Samsung Electronics "Fingerprint Template Management for Higher Accuracy in User Authentication "2018.

- Mohammad haghighat, saman zonouz, Mohamed abdel-mottaleb "cloudID: Trustworthy cloud-based and cross-enterprise biometric identification"Elsevier ltd. All rigths reserved.2015.

- Dibyendu Nath Saurav Ray Sumit Kumar Ghosh" Fingerprint Recognition System: Design & Analysis” International Conference on Scientific Paradigm Shift in Information Technology & Management, SPSITM'11, January 2011.

- Chris Solomon, Toby Breckon,"Fundamentals of Digital Image Processing", 1st edition, 2011.

- Kuldeep singh, Rajiv kapoor "Image enhancement via Median-Mean Based Sub-Image-Clipped Histogram Equalization” Accepted 24 April 2014, Available online 11 July 2014.

- Fahmy and M A. Thabet" A Fingerprint Segmentation Technique Based on Morphological Processing" 978-1-4799-4796-6/13/$31.00 © 2013 IEEE.

- Saeed Meshgini, Ali Aghagolzadeh, and Hadi Seyedarabi " Face Recognition Using Gabor Filter Bank, Kernel Principle Component Analysis and Support Vector Machine" International Journal of Computer Theory and Engineering, Vol. 4, No. 5, October 2012.

- Alireza Baratloo1, Mostafa Hosseini2, Ahmed Negida3*, Gehad El Ashal4" Simple Definition and Calculation of Accuracy, Sensitivity and Specificity " Faculty of Medicine, Zagazig University, El-Kanayat, El-Sharkia, Zagazig, Egypt, February 2015.

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Published

2021-02-18

Issue

Vol. 10 No. 2 (2020)

Section

Articles

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