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Automatic Hand Detection in Color Images based on skin region verification

Abstract : Among the modern means of communications that appeared recently, there is the natural computer interaction using hands. Several methods have been proposed for their detection in the literature, and the common methods are based on skin color. The majority of these methods perform on images containing the hand region only or on images containing the hand and the forearm regions, but few of them have been interested to deal automatically for both situations. In this paper, we propose a new method of automatic hand detection in color images based on skin region verification. Using the 2D properties of hand components (fingertips, hand palm, wrist) we verify if the skin region treated contains the hand region with or without the presence of the forearm, and for each situation the hand is detected differently. Compared to other methods of literature, our method avoids several scenarios of misdetection and process in a consistent manner through the verification and detection stages. Using a database containing 899 color images of hand gestures, we evaluated the efficiency of our method and we compared it to other methods of literature, the results obtained were very satisfactory.
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https://hal-uphf.archives-ouvertes.fr/hal-03428499
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Submitted on : Monday, November 15, 2021 - 10:45:34 AM
Last modification on : Tuesday, November 16, 2021 - 3:56:50 AM

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Sofiane Medjram, Chaouki Babahenini, Yamina Mohamed Ben Ali, Abdelmalik Taleb-Ahmed. Automatic Hand Detection in Color Images based on skin region verification. Multimedia Tools and Applications, Springer Verlag, 2018, 77 (11), pp.13821-13851. ⟨10.1007/s11042-017-4995-0⟩. ⟨hal-03428499⟩

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