Hybrid method for hand segmentation

Chompoo Suppatoomsin

doi:10.1117/12.856290

26 February 2010 Hybrid method for hand segmentation

Chompoo Suppatoomsin

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461D (2010) https://doi.org/10.1117/12.856290
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

This paper presents a novel hybrid method for hand segmentation in color imagery. In order to overwhelm such complex details of the color image, the system combines artificial intelligence techniques to achieve automatic hand segmentation. These techniques include self-organizing map, backpropagation artificial neural network, genetic algorithm, convex and deformable template techniques. The proposed system can detect hands without using any initial conditions and can also perform in different light conditions. Moreover, the system can detect hands in different sizes and orientations. This work utilizes convex and deformable template techniques together which allow the system to detect hands at the maximum accuracy of 98 percent.

Citation Download Citation

Chompoo Suppatoomsin "Hybrid method for hand segmentation", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461D (26 February 2010); https://doi.org/10.1117/12.856290

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