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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features

Author 1: S. F. Abdullah Author 2: A.F.N.A. Rahman Author 3: Z.A.Abas Author 4: W.H.M Saad
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 6 · Published 2016 · Cited by 6

DOI: 10.14569/IJACSA.2016.070635

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Abstract

In forensic world, the process of identifying and calculating the fingerprint features is complex and take time when it is done manually using fingerprint laboratories magnifying glass. This study is meant to enhance the forensic manual method by proposing a new algorithm for fingerprint global feature extraction for gender classification. The result shows that the new algorithm gives higher acceptable readings which is above 70% of classification rate when it is compared to the manual method. This algorithm is highly recommended in extracting a fingerprint global feature for gender classification process.

Keywords

fingerprint gender classification global features algorithm

How to Cite this Article

Abdullah, S. F., Rahman, A., Z.A.Abas, & Saad, W. (2016). Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features. International Journal of Advanced Computer Science and Applications, 7(6). https://doi.org/10.14569/IJACSA.2016.070635

Abdullah, S. F., et al.. "Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features." International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, 2016, https://doi.org/10.14569/IJACSA.2016.070635.

@article{Abdullah2016,
  title     = {Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {S. F. Abdullah and A.F.N.A. Rahman and Z.A.Abas and W.H.M Saad},
  doi       = {10.14569/IJACSA.2016.070635},
  url       = {https://doi.org/10.14569/IJACSA.2016.070635}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
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