Data mining methods in face recognition
Roman W. Świniarski · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.