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Human Skin Color Detection Technique Using Different Color Models

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Trends and Advancements of Image Processing and Its Applications

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

Skin color detection is a challenging problem in the field of image processing. Basically, the color of human skin is created by a combination of blood (red) and melanin (yellow, brown). Skin colors lie between these two extreme hues and are somewhat saturated. The main purpose of this proposed algorithm is to improve the detection and recognition of human skin color. Skin color detection process is useful in a wide range of image processing applications such as diagnosis in dermatology or skin disease, face recognition for security purpose, gesture tracking, and computer-human interaction. Different color systems existed for various applications. Color model is a mathematical representation of colors which holds the color space with its primary color’s components like red, green, and blue. We used different color models to obtain suitable result for detection of human skin color. Furthermore, the proposed approach is based on a threshold value and skin detection has been performed on different color models. The pixel-based technique is used in skin detection which segregates skin and non-skin pixels. The experimental results are obtained using human skin color detection technique with different color space such as RGB, HSV, YCbCr, and CMYK.

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Author information

Authors and Affiliations

  1. Sharda University, Greater Noida, Uttar Pradesh, India

    Ruqaiya Khanam

  2. Galgotias University, Greater Noida, Uttar Pradesh, India

    Prashant Johri

  3. National University of La Pampa, Santa Rosa, Argentina

    Mario José Diván

Authors
  1. Ruqaiya Khanam
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  2. Prashant Johri
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  3. Mario José Diván
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Editor information

Editors and Affiliations

  1. Plot No 2, Sector 17 A, Yamuna Expressway, School of Computing Science & Engineering, Galgotias University, G.B.Nagar, Greater Noida, Uttar Pradesh, India

    Prashant Johri

  2. Data Science Research Group at Economy School, National University of La Pampa, Santa Rosa, Argentina

    Mario José Diván

  3. Computer Science and Engineering Department, SET, Sharda University, Greater Noida, Uttar Pradesh, India

    Ruqaiya Khanam

  4. Information System Department, Center for Research, Development, and Transfer of Information Systems (CIDS), National Technological University - Córdoba Regional Faculty, Córdoba, Argentina

    Marcelo Marciszack

  5. Information System Department, National Technological University - Tucumán Regional Faculty, Tucumán, Tucumán, Argentina

    Adrián Will

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Khanam, R., Johri, P., Diván, M.J. (2022). Human Skin Color Detection Technique Using Different Color Models. In: Johri, P., Diván, M.J., Khanam, R., Marciszack, M., Will, A. (eds) Trends and Advancements of Image Processing and Its Applications. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-75945-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-75945-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75944-5

  • Online ISBN: 978-3-030-75945-2

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