An Empiric Model of Face Detection based on RGB Skin Tone Color

Modern smartphone has been society's lifestyle where every smartphone has a high quality digital camera with all the digital image processing feature. One of those features are face detection. Face detection is the most basic process of any face processing operations. Most digital images are st...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1230; no. 1; pp. 12014 - 12022
Main Authors Robin, Ferawaty, Jusin, Hita, Irviantina, Syanti, Siregar, Saut Dohot, Chandra, Wenripin
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.07.2019
Subjects
Color
Digital cameras
Digital imaging
Face recognition
Image processing
Image segmentation
Skin
Smartphones
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Summary:Modern smartphone has been society's lifestyle where every smartphone has a high quality digital camera with all the digital image processing feature. One of those features are face detection. Face detection is the most basic process of any face processing operations. Most digital images are stored in the form of RGB (Red, Green, Blue) data. In this research, detection of human face features is done by using different RGB values in digital images. After applying skin tone color segmentation on digital images, detection area will be optimized using human head properties by eliminating non-human face skin tone area. The experiment shows that the detection is mostly accurate for images but there is issue on low light face skin color captured by digital cameras. From the experiment of our model using 10 sample face images, face can be detected on 9 of them, while in 1 image, the face cannot be detected at all because of low light condition.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1230/1/012014