Invariant recognition system for 2D objects based on three-stage BPNN structure

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作者：
Darveniza Technical Univ, Sofia, Bulgaria [1 ]
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来源：
Electron Lett | / 10卷 / 974-976期
关键词：
Backpropagation - Image coding - Mathematical transformations - Neural networks - Object recognition;
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摘要：
A new recognition system is presented which includes a three-stage backpropagation neural network structure with two-band coding of the DCT input spectrum space. The system is designed for invariant recognition of 2D objects. It enables a high recognition rate of objects with overlapping classes to be obtained.
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