The Kernel function to support vector machines can be divided into two types: the local kernel function and the global kernel function. Because the local kernel function has excellent learning ability, but its generalization ability is limited, we structure a joint kernel function with two kinds of functions, so that it can combine the advantages of the two kinds of kernel functions. The experiment proves that the joint kernel function can adapt to the incremental learning process and it has better performance.