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ESTD Year: 2017 | Impact Factor (2026): 8.7
DOI Prefix: 10.47001/IRJIET
ESTD Year: 2017 | Impact Factor (2026): 8.7
DOI Prefix: 10.47001/IRJIET
Vol 10 No 6 (2026): Volume 10, Issue 6, June 2026 | Pages: 193-200
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 22-06-2026
The use of face detection and recognition has emerged as a theme of research in the field of computer vision due to their wide application in security systems, biometrics authentication, access control and intelligent video analysis. The rapid development of visual information produced by surveillance systems and digital imaging systems has raised the need to find automated, scaled up, and robust face recognition methods. This is a contribution that has made a lot of progress over the last ten years following the shift of traditional feature-based techniques involving handcrafted features to deep learning driven detection and embedding based recognition models.
The paper is a thorough review of face detection methods, face recognition systems, strategies of similarity measurements and real-time surveillance systems. Classical techniques and the contemporary deep learning-based techniques are systematically reviewed and compared. The survey also considers the distributed and large-scale processing structures on one side, and system level issues like real-time performance, scalability, open set recognition and computational efficiency on the other. Judging by the comparative analysis, it is possible to determine the main research gaps and perspectives in the future and offer the systematized vision of the existing developments in face detection and recognition technologies.
Face Detection, Face Recognition, Deep Learning, Surveillance Systems, RetinaFace, ArcFace, Facial Embeddings.
Ashwini Bhamre, Chetan K. Wani, Shashikant K. More, & Aaradhya S. Sonar. (2026). A Survey on Face Detection and Recognition Techniques. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(6), 193-200. Article DOI https://doi.org/10.47001/IRJIET/2026.106024
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