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http://dx.doi.org/10.9708/jksci.2015.20.5.013

Hand Feature Extraction Algorithm Using Curvature Analysis For Recognition of Various Hand Gestures  

Yoon, Hong-Chan (Dept. of IT Convergence Engineering, Gachon University)
Cho, Jin-Soo (Dept. of Computer Engineering, Gachon University)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.5, 2015 , pp. 13-20 More about this Journal
Abstract
In this paper, we propose an algorithm that can recognize not only the number of stretched fingers but also determination of attached fingers for extracting features required for hand gesture recognition. The proposed algorithm detects the hand area in the input image by the skin color range filter based on a color model and labeling, and then recognizes various hand gestures by extracting the number of stretched fingers and determination of attached fingers using curvature information extracted from outlines and feature points. Experiment results show that the recognition rate and the frame rate are similar to those of the conventional algorithm, but the number of gesture cases that can be defined by the extracted characteristics is about four times higher than the conventional algorithm, so that the proposed algorithm can recognize more various gestures.
Keywords
Hand Gesture Recognition; Hand Feature Extraction; Curvature Analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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