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14 April 2000 Data mining methods in face recognition
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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