# Human Skin Detection Using RGB, HSV and YCbCr Color Models

arXiv: https://arxiv.org/abs/1708.02694 · HTML: https://mlsanity.com/paper/1708.02694/

## Key facts

- Cited by 16 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Aug 2017.

## Built on by (most cited first, 16 of 16)

- [DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models](https://mlsanity.com/paper/2202.04053/) (2022)
- [Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset](https://mlsanity.com/paper/2104.09957/) (2021)
- [Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm](https://mlsanity.com/paper/2207.02942/) (2022)
- [FairRAG: Fair Human Generation via Fair Retrieval Augmentation](https://mlsanity.com/paper/2403.19964/) (2024)
- [Consensus and Subjectivity of Skin Tone Annotation for ML Fairness](https://mlsanity.com/paper/2305.09073/) (2023)
- [Racial Bias within Face Recognition: A Survey](https://mlsanity.com/paper/2305.00817/) (2023)
- [Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models](https://mlsanity.com/paper/2312.10065/) (2023)
- [RealisticHands: A Hybrid Model for 3D Hand Reconstruction](https://mlsanity.com/paper/2108.13995/) (2021)
- [Color Invariant Skin Segmentation](https://mlsanity.com/paper/2204.09882/) (2022)
- [Geodesic squared exponential kernel for non-rigid shape registration](https://mlsanity.com/paper/2112.11853/) (2021)
- [Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication](https://mlsanity.com/paper/2207.04434/) (2022)
- [A Connected Component Labelling algorithm for multi-pixel per clock cycle video stream](https://mlsanity.com/paper/2105.09658/) (2021)
- [An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood Technique](https://mlsanity.com/paper/2108.10971/) (2021)
- [Colors Matter: AI-Driven Exploration of Human Feature Colors](https://mlsanity.com/paper/2505.14931/) (2025)
- [TrustSkin: A Fairness Pipeline for Trustworthy Facial Affect Analysis Across Skin Tone](https://mlsanity.com/paper/2505.20637/) (2025)
- [EfficienT-HDR: An Efficient Transformer-Based Framework via Multi-Exposure Fusion for HDR Reconstruction](https://mlsanity.com/paper/2509.19779/) (2025)

## Abstract (arXiv)

Human Skin detection deals with the recognition of skin-colored pixels and regions in a given image. Skin color is often used in human skin detection because it is invariant to orientation and size and is fast to process. A new human skin detection algorithm is proposed in this paper. The three main parameters for recognizing a skin pixel are RGB (Red, Green, Blue), HSV (Hue, Saturation, Value) and YCbCr (Luminance, Chrominance) color models. The objective of proposed algorithm is to improve the recognition of skin pixels in given images. The algorithm not only considers individual ranges of the three color parameters but also takes into ac- count combinational ranges which provide greater accuracy in recognizing the skin area in a given image.