A Comparative Study on Hand Segmentation techniques using colour models

Abstract

This paper incorporates the dynamic study and the analysis of numerous varying colour models used for hand segmentation and analyse the (HCI) interfacing techniques under different environment conditions on different backgrounds. Interfacing evolves as in a form of Man – Machine Interaction performing hand segmentation based on colour models. A comparative study to observe and analyse techniques for skin colour based segmentation are performed. Morphological processing is used as one of the key technique for eliminating the background noise. Fast algorithms and Canny Edge Detection techniques are used for vision based hand gesture recognition used in robotic control and in various applications.

Authors and Affiliations

Priyanka Thapak, Rinkoo Bhatia

Keywords

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  • EP ID EP22107
  • DOI -
  • Views 226
  • Downloads 4

How To Cite

Priyanka Thapak, Rinkoo Bhatia (2016). A Comparative Study on Hand Segmentation techniques using colour models. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(5), -. https://europub.co.uk./articles/-A-22107