A method for hand gesture recognition based on morphology and Fingertip-Angle

Author

Wen, Xiaotang ; Niu, Yanyu

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

688

Lastpage

691

Abstract

This paper proposes an automatic method to recognize the hand in complex background. With this method, contour of hand in pictures can be figured out and the fingertips can be marked out. Skin color detection is used to find out the hand region out of a complex background, then a serial of morphological operations is performed to get the contour of the hand, and the computation of Fingertip-Angle is for marking out the fingertips. The simulation result shows that out method has a good performance for images with low computation cost.

Keywords

gesture recognition; image colour analysis; mathematical morphology; fingertip angle; hand contour; hand gesture recognition; hand region; morphological operations; morphology; pictures; skin color detection; Computational modeling; Computer science; Detection algorithms; Humans; Lighting; Morphological operations; Morphology; Paper technology; Pattern recognition; Skin; Fingertip-Angle; hand gesture; morphological operation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451290

Filename

5451290