Permutation Coding Technique for Image Recognition Systems

A feature extractor and neural classifier for image recognition systems are proposed. The proposed feature extractor is based on the concept of random local descriptors (RLDs). It is followed by the encoder that is based on the permutation coding technique that allows to take into account not only d...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2006-11, Vol.17 (6), p.1566-1579
Hauptverfasser:	Kussul, E.M., Baidyk, T.N., Wunsch, D.C., Makeyev, O., Martin, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Coding Computer science control theory systems Computer Simulation Computer vision Connectionism. Neural networks Encoders Error analysis Exact sciences and technology Face recognition Feature extraction Handwriting recognition handwritten digit recognition Image coding Image Interpretation, Computer-Assisted - methods Image recognition Information Storage and Retrieval - methods MNIST database Models, Statistical Neural Networks (Computer) NIST Olivetti Research Laboratory (ORL) database Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry permutation coding neural classifier Permutations Recognition Shape Signal Processing, Computer-Assisted Studies System testing
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