Face detection technology based on skin color features in MATLAB

Longfei Dang; Miao Yang; Xiaodong Jing; Yizhi Xu; Qicheng Xiao; Wanyu He

doi:10.1117/12.3036283

16 August 2024 Face detection technology based on skin color features in MATLAB

Longfei Dang, Miao Yang, Xiaodong Jing, Yizhi Xu, Qicheng Xiao, Wanyu He

Proceedings Volume 13230, Third International Conference on Machine Vision, Automatic Identification, and Detection (MVAID 2024); 132301Y (2024) https://doi.org/10.1117/12.3036283
Event: Third International Conference on Machine Vision, Automatic Identification and Detection, 2024, Kunming, China

Abstract

Face detection is the most basic processing in the face recognition process. If the detection method is not appropriate, it can cause the recognition process to collapse. Face detection is very important in face recognition. The facial pattern is very complex and susceptible to external interference. Common facial detection algorithms generally have weaknesses such as high computational complexity, slow speed, and high false alarm rates. In this paper, a skin color model detection method based on the YCbCr color space is used for facial detection, which solves the problem of high computational complexity. Morphological theory is also used for subsequent image processing.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Longfei Dang, Miao Yang, Xiaodong Jing, Yizhi Xu, Qicheng Xiao, and Wanyu He "Face detection technology based on skin color features in MATLAB", Proc. SPIE 13230, Third International Conference on Machine Vision, Automatic Identification, and Detection (MVAID 2024), 132301Y (16 August 2024); https://doi.org/10.1117/12.3036283

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KEYWORDS

Skin

Facial recognition systems

Color

Object detection

RGB color model

Light sources and illumination

MATLAB

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