Abstract: In this paper, the idea of metasynthesis from the qualitative to the quantitative is applied to pattern recognition. The main point of metasynthesis is to combine computer system with human intelligence. Thus, in pattern recognition, it can be realized by supervised learning. So, a new integration method, named NISL (Network Integration on the basis of Supervised Learning) is proposed to combine multiple recognition systems. Obviously, NISL makes full use of human aids so that a better result can be achieved. The exciting result of an experiment which combined four unconstrained handwritten numeral recognition systems fully demonstrated the effectiveness of the proposed method. Furthermore, the idea of NISL can be developed to establish the templates of complex patterns ,such as handwritten Chinese characters. Since the concept of template plays an important role in image thinking, NISL contributes greatly to both noetic science and pattern recognition, thus lays a foundation for the computer recognition of unconstrained handwritten Chinese characters.