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.