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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 12, DECEMBER 2023

FACE DETECTION: A SCIENCE OF DETECTING AND RECOGNIZING HUMAN FACE

Ms. Kanika Kundu

DOI: 10.17148/IJARCCE.2023.121208

Abstract: With the marvelous increase in videotape and image databases, there's an inconceivable need for automatic understanding and examination of information by intelligent systems as it's getting to be plainly distant. Face plays an important part in social intercourse for conveying the identity and passions of a person. mortal beings do haven't a tremendous capability to identify different faces than machines. So, automatic face discovery system plays a significant part in face recognition, facial expression recognition, head- disguise estimation, and mortal – computer commerce etc. Face discovery is a computer technology that determines the position, and size of mortal face in a digital image. Face discovery has been a name among motifs in computer vision literature. This paper represents a comprehensive check of different ways explored for face discovery in digital images. Different challenges and operations of face discovery are also introduced in this paper.

Keywords: Face Detection, Face Recognition, knowledge-based, feature-based, template-based, appearance-based, image, resolution, noise, occlusion. Cite: Ms. Kanika Kundu, "FACE DETECTION: A SCIENCE OF DETECTING AND RECOGNIZING HUMAN FACE", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 12, pp. 51-55, 2023, Crossref https://doi.org/10.17148/IJARCCE.2023.121208.

How to Cite:

[1] Ms. Kanika Kundu, “FACE DETECTION: A SCIENCE OF DETECTING AND RECOGNIZING HUMAN FACE,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.121208