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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM19087
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Face detection is an important task in computer vision that has many real-world applications such as security systems, video surveillance, and facial recognition systems. This paper presents a Python-based approach to detect faces in an image using the OpenCV library. The proposed approach involves pre-processing the image, detecting the face using Haar Cascades, and drawing a rectangle around the detected face. The results obtained from the proposed approach are evaluated and compared with the state-of-the-art methods using different performance metrics. The results show that the proposed approach achieves high accuracy in detecting faces in an image.
KEYWORDS
Publication Date
4/16/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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