Static Hand Gestures: Fingertips Detection Based on Segmented Images
作者: Ahmad Yahya DawodMd Jan NordinJunaidi Abdullah
刊名: Journal of Computer Science, 2016, Vol.11 (12), pp.1090-1098
来源数据库: Science Publications
DOI: 10.3844/jcssp.2015.1090.1098
原始语种摘要: Fingertips detection is important for recognition of static gesture in sign language. This paper presents a new method that is based on YCbCr colour space and skeletonization for fingertips detection towards gesture segmentation and recognition. The method begins with the conversion of an image in RGB colour space into YCbCr colour space. Then, the chrominance Cb and Cr are extracted from the YCbCr colour space. A thresholding technique, which is based on a pre-defined range for Cb and Cr components representing the skin colour value is used to extract the hand from the background and to achieve the binary image. A morphological processing is performed on the obtained binary image to remove noise and unwanted image pixels. The candidate fingertips position is then calculated based on...
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  • colour 颜料
  • gesture 手势
  • chrominance 色度
  • recognition 识别
  • thresholding 阈值
  • image 
  • segmentation 分段
  • representing 表示
  • candidate 选择物
  • processing 加工