Detection of fingertips based on the combination of color information and circle detection

Alam, Md Jahangir and Chowdhury, Morshed 2013, Detection of fingertips based on the combination of color information and circle detection, in ICIIS 2013 : Proceedings of the 8th IEEE International Conference on Industrial and Information Systems, IEEE, Piscataway, N.J., pp. 572-576.

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Title Detection of fingertips based on the combination of color information and circle detection
Author(s) Alam, Md Jahangir
Chowdhury, Morshed
Conference name IEEE International Conference on Industrial and Information Systems (8th : 2013 : Peradeniya, Sri Lanka)
Conference location Peradeniya, Sri Lanka
Conference dates 17-20 Dec. 2013
Title of proceedings ICIIS 2013 : Proceedings of the 8th IEEE International Conference on Industrial and Information Systems
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE International Conference on Industrial and Information Systems
Start page 572
End page 576
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) fingertips
circle hough transformation
human computer interaction
image segmentation
skin color
Summary Fingertips of human hand play an important role in hand-based interaction with computers. Therefore, identification of fingertips' positions on hand image is vital for developing a human computer interaction system. All most all of the research works for fingertips detection, initially isolate hand image from the background image. Most of these techniques develop color based segmentation methods because human skin color possess an exceptional characterises that can be used to isolate hand from the rest of the image quite easily. Sometimes color image segmentation becomes difficult due to illumination and background variations. To make it simple and reliable, this paper proposes a robust method for detecting fingertips of a hand image based on the combination of color segmentation and circle detection. Due to the characteristics of circularity of fingertips regions of hand boundary, any existing circle detection algorithms can be applied to detect circles at fingertips region. It is difficult to detect fingertips solely based on the circle detection method. For this reason, initially the proposed method detects all the circular regions on the image applying Circle Hough Transformation (CHT) then the fingertips are selected based on the color characteristics of the fingertips regions. Experimental results show that the proposed approach is promising.
Language eng
Field of Research 080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30061632

Document type: Conference Paper
Collection: School of Information Technology
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