A Comprehensive Review of Face Detection/Recognition Algorithms and Competitive Datasets to Optimize Machine Vision
Mahmood Ul HaqTashkent State University of EconomicsMuhammad Athar Javed SethiUniversity of Engineering and Technology PeshawarSadique AhmadUniversity of Engineering and Technology PeshawarNaveed AhmadDepartment of Computer System Engineering, University of Engineering and Technology, Peshawar, 25000, Pakistan 2 EIAS: Data Science and Blockchain Laboratory, College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia 3 College of Computer and Information Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia 4 Department of AI and Software, Gachon University, Seongnam-si, 13120, Republic of Korea 5 Department of Econometrics, Tashkent State University of Economics, Tashkent, 100066, UzbekistanMuhammad Shahid AnwarDepartment of Computer System Engineering, University of Engineering and Technology, Peshawar, 25000, Pakistan 2 EIAS: Data Science and Blockchain Laboratory, College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia 3 College of Computer and Information Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia 4 Department of AI and Software, Gachon University, Seongnam-si, 13120, Republic of Korea 5 Department of Econometrics, Tashkent State University of Economics, Tashkent, 100066, UzbekistanAlpamis KutlimuratovUniversity of Engineering and Technology Peshawar
2025en
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Face recognition has emerged as one of the most prominent applications of image analysis and understanding, gaining considerable attention in recent years. This growing interest is driven by two key factors: its extensive app... | Find, read and cite all the research you need on Tech Science Press
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