A new design approach to neural network pattern recognition systems

Chia-Lun John Hu

doi:10.1117/12.702058

27 February 2007 A new design approach to neural network pattern recognition systems

Chia-Lun John Hu

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 64970T (2007) https://doi.org/10.1117/12.702058
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

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 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.

Citation Download Citation

Chia-Lun John Hu "A new design approach to neural network pattern recognition systems", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 64970T (27 February 2007); https://doi.org/10.1117/12.702058

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