Face Sketch Recognition: Gender Classification and Recognition

Authors

  • Khalid Ounachad Department of Informatics, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco. Author
  • Mohamed Oualla SEISE: Software Engineering & Information Systems Engineering Team, Faculty of sciences and technology, Moulay Ismail University, Errachidia, Morocco. Author
  • Abdelalim Sadiq Department of Informatics, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco. Author
  • Abdelghani Sohar Department of Informatics, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco Author

DOI:

https://doi.org/10.61841/8h3jxe80

Keywords:

Face Sketch, Facial Gender Recognition, Perfect Face Ratios, Average Face Ratios, Fuzzy Hamming Distance

Abstract

The main objective of this paper is to identify the gender of the human being based on their face sketch by using a geometric feature. This paper presents a novel method for human face sketch gender classification and recognition. We generate two referential faces suitable for each kind of facial gender based on perfect face ratios and five classical averages. The basic idea is to extract perfect face ratios for the input face sketch and for each referential face as features and calculate the distance between them by using fuzzy Hamming distance. To extract perfect face ratios, we use the point landmarks in the face then sixteen features will be extract. An experimental evaluation demonstrates the satisfactory performance of our approach on the CUHK Face Sketch dataset (CUFS). It can be applied with any existing face sketch dataset. The proposed algorithm will be a competitor of the other proposed relative approaches. The recognition rate reaches more than 88% (60% for females and more than 86% for males). 

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References

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Published

31.05.2020

Issue

Vol. 24 No. 3 (2020): 24 (3) 2020

Section

Articles

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Copyright (c) 2020 AUTHOR

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How to Cite

Ounachad, K., Oualla, M., Sadiq, A., & Sohar, A. (2020). Face Sketch Recognition: Gender Classification and Recognition. International Journal of Psychosocial Rehabilitation, 24(3), 1073-1085. https://doi.org/10.61841/8h3jxe80