Human Skin Detection

Md. Zargis Talukder; Dr. Muhammad Shoyaib

Human Skin Detection

Md. Zargis Talukder * §

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dhrubo_eee88

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Dr. Muhammad Shoyaib

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Bangladesh University of Engineering & Technology

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Abstract

Skin-color modeling is a crucial task for several applications of computer vision. Problems such as face detection in video are more likely to be solved if an efficient skin-color model is constructed. Most potential applications of skin-color model require robustness to significant variations in races, differing lighting conditions, textures and other factors. Given the fact that a skin surface reflects the light in a different way as compared to other surfaces. As the color of human skin is created by the combination of blood (red) and melanin (brown, yellow) which gives it a restricted range of hues. A skin region can be classified by comparing large image content of skin database and non-skin database. The RGB color space is widely used and most effective to detect skin region from an image. The segmentation is used to localize and identify homogeneous regions in a picture by perceptual attributes which include the size, the shape and the texture and/or color information. The probability of each RGB color space of skin and non-skin database is important to detect skin pixels.

References

10 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Md. Zargis Talukder, dhrubo_eee88, Dr. Muhammad Shoyaib. 1970. "Human Skin Detection". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F3).

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GJCST Volume 13 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

image processing skin detection

Classification

GJCST-F Classification I.5.4

Submission ReceivedDecember 10, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 148

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology

Authors: Md. Zargis Talukder, Avizit Basak, Dr. Muhammad Shoyaib (PhD/Dr. count: 1)

View Count (all-time): 506

Total Views (Real + Logic): 6880

Total Downloads (simulated): 365

Publish Date: 2013 01, Tue

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Total Views: 6.9K

Total Downloads: 365

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