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http://dx.doi.org/10.6109/jkiice.2011.15.7.1564

Histogram Based Hand Recognition System for Augmented Reality  

Ko, Min-Su (광운대학교 전자공학과)
Yoo, Ji-Sang (광운대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.7, 2011 , pp. 1564-1572 More about this Journal
Abstract
In this paper, we propose a new histogram based hand recognition algorithm for augmented reality. Hand recognition system makes it possible a useful interaction between an user and computer. However, there is difficulty in vision-based hand gesture recognition with viewing angle dependency due to the complexity of human hand shape. A new hand recognition system proposed in this paper is based on the features from hand geometry. The proposed recognition system consists of two steps. In the first step, hand region is extracted from the image captured by a camera and then hand gestures are recognized in the second step. At first, we extract hand region by deleting background and using skin color information. Then we recognize hand shape by determining hand feature point using histogram of the obtained hand region. Finally, we design a augmented reality system by controlling a 3D object with the recognized hand gesture. Experimental results show that the proposed algorithm gives more than 91% accuracy for the hand recognition with less computational power.
Keywords
Recognition of hand; Hand Tracking; Augmented reality; Computer vision;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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