A New Design Approach to Neural Network Pattern Recognition Systems

摘要

As reported in our publications in SPIE conferences in the last two years, we can use a simple VB6 program to break the boundaries of some selected objects in an edge-detected binary picture into many simple branches and reconstruct accurately the boundaries of the original objects free of noise. By this means we can then program the computer to automatically learn some standard objects and automatically recognize any test objects by a novel topological pattern recognition (TPR) system. The learning and recognition are based on the topological connections of the simple, bi-directional graph of the object boundaries. It is very accurate, yet very robust, way to recognize the test objects, because it is like the design of an electric circuit. When the way of connection of an electric circuit, or the topology of an electric circuit, is fixed, all the electrical properties of the circuit are fixed.