An Improved Algorithm of Hand Gesture Recognition under Intricate Background

Authors:
Shuying Zhao;Wenjun Tan;Shiguang Wen;Yuanyuan Liu
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang, China 110004;College of Information Science and Engineering, Northeastern University, Shenyang, China 110004;College of Information Science and Engineering, Northeastern University, Shenyang, China 110004;College of Information Science and Engineering, Northeastern University, Shenyang, China 110004
Venue:
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Year:
2008

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Abstract

This paper presents an integrated algorithm of YCbCr-Nrg, Double Color-Spatial Model and Background Model to resolve the problem that single skin-color model is obstructed by near kin color. This segmentation method is realized by the fusion of muti-feature. Based on the good describing ability of Fourier Descriptors algorithm and the good self-learning ability of BP neural network, an improved algorithm of hand recognition is presented and carried out. Results show that this algorithm is robustness for hand gesture recognition under intricate background.