Hybrid method for hand segmentation
Chompoo Suppatoomsin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
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.