Title:
FACERECOGNITIONBASEDONFRACTALANDGENETICALGORITHMS.
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Description: The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high.
- [specialFastICA] - this code is uploaded on the main featur
- [gabor_11_15_01.tar] - one of the Matlab routines eigenface
- [PSO-bp-MATLAB] - use PSO training Neural Network MATLAB s
- [XmlReaderSample] - CSharp Generic coding demo source code t
- [nomodaldlg] - Non-modal window, but the general modal
- [Eigenface] - Facial feature extraction can be downloa
- [gaotv5] - Based on the genetic algorithm matlab to
- [bp_lle_train] - Face recognition based on neural network
- [PCA] - Face Recognition: pca after feature extr
- [daima] - pca+ lda+ Rough Set+ fuzzy neural networ
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