Recognizing Individual Faces of Variable Sizes using a Face Recognition Algorithm

Authors

  • Rasha Awad Computer Department, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
  • Anwar H. Al-Saleh Computer Department, College of Science, Mustansiriyah University, Baghdad, Iraq
  • Hussein Faris Saeed Computer Department, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
  • Zainab Hashim Computer Department, College of Basic Education, Mustansiriyah University, Baghdad, Iraq
  • Ali A. Al-Zuky Physics Department, College of Science, Mustansiriyah University, Baghdad, Iraq

DOI:

https://doi.org/10.31695/IJASRE.2025.3.1

Keywords:

Face Recognition, Face matching, Image Processing, Correlation Coefficient

Abstract

Face recognition that uses a person's face to identify or verify their identification is called face recognition. It functions by recognizing and quantifying face features in a picture. Technologies that use facial recognition can identify faces in photos or videos, identify if two faces are of the same person, or look for a particular face in a vast library of previously taken photos. When users enroll or log in, biometric security systems use facial recognition technology to uniquely identify each person. The objective of study is to detect and identify face in coloured images ( single or multiple faces) of human. A statistical algorithm based on skin color information, together with the facial features representing holes such as the eye or mouth, was applied. The study involved, among other things, the influence of the type of colored pictures employed in the test was examines, as human images from different races were used. The results confirmed this technology's success in identifying each person's individual face within the group.

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How to Cite

Rasha Awad, Anwar H. Al-Saleh, Hussein Faris Saeed, Zainab Hashim, & Ali A. Al-Zuky. (2025). Recognizing Individual Faces of Variable Sizes using a Face Recognition Algorithm. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 11(3), 1–7. https://doi.org/10.31695/IJASRE.2025.3.1

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