Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis

Mohd Zamri, Osman and Mohd Aizaini, Maarof and Mohd Foad, Rohani and Kohbalan, Moorthy and Suryanti, Awang (2018) Multi-Scale Skin Sample Approach for Dynamic Skin Color Detection: An Analysis. Advanced Science Letters, 24 (10). pp. 7662-7667. ISSN 1936-6612. (Published)

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Skin detection is an important step in many computer vision applications. It has been employed in face detection, hand gesture recognition, illicit image filtering, steganography and content based image retrieval. This is due to the skin colour that attractive feature in detecting the skin in coloured image. In contrast, skin colour detection suffers in low accuracy due to colour properties between the real skin surface and the skin-like objects. Therefore, this paper proposes a dynamic skin colour detection using multi-scales online skin sampling approach. This dynamic skin colour detection involved two procedures for generating the dynamic threshold in colour spaces. Moreover, six colour spaces have been studied to find the best colour models for our proposed method. The first procedure is the online skin sampling that obtained directly from the face candidates to generate the dynamic threshold values of each studied colour spaces. Alongside with the first procedure, we obtained optimal scale for skin sample with 0.25, 0.2 reduction, Meanwhile, the second procedure known as skin pixel classification uses the dynamic threshold obtained from the first procedure to classify the skin in the image. We achieved a satisfactory result in term of precision, recall, accuracy and F1. The experimental result shows that the proposed dynamic skin colour detection achieved good performance via

Item Type: Article
Additional Information: JCR® Category: Multidisciplinary Sciences. Quartile: Q2
Uncontrolled Keywords: Dynamic skin detection; skin colour detection; online skin sampling; dynamic threshold; colour space
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 27 Mar 2018 01:13
Last Modified: 22 Nov 2018 04:46
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