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14 April 2000 Data mining methods in face recognition
Roman W. Swiniarski
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Proceedings Volume 3962, Applications of Artificial Neural Networks in Image Processing V; (2000) https://doi.org/10.1117/12.382922
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
The paper presents an application of data mining methods for face recognition. We have proposed the rough sets methods to face recognition and selection of facial features based on the minimum concept description paradigm. The features from the face images have been extracted based on the singular value decomposition, followed by the principal component analysis, and rough sets processing. The recognition of facial images, for reduced feature sets, has been carried on using rough sets expert system and error backpropagation neural network.
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Roman W. Swiniarski "Data mining methods in face recognition", Proc. SPIE 3962, Applications of Artificial Neural Networks in Image Processing V, (14 April 2000); https://doi.org/10.1117/12.382922
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KEYWORDS
Principal component analysis
Neural networks
Facial recognition systems
Feature selection
Feature extraction
Data mining
Image classification
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