Image identification method for two-dimensional probability linear-discriminant analysis based on L1 norm
A linear discriminant analysis, L1 norm technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve problems such as complex noise, and achieve the effect of robust outliers and correct image classification.
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[0054] Below in conjunction with accompanying drawing and experiment further illustrate the technical method of this invention.
[0055] Based on the present invention, a kind of image recognition method of two-dimensional probability prior discriminant analysis based on L1 norm is proposed, refer to figure 1 , the specific implementation includes:
[0056] A. Establish a probability model for the input original image data by using the L1 norm;
[0057] B. Use the maximum expectation algorithm to solve the model to obtain the projection matrix of the image;
[0058] C. Classify unknown images according to the obtained projection matrix.
[0059] Combined with the data in the ORL library, the step A includes:
[0060] A1. Input the image data of ORL and build the model. make It is independent and identically distributed 320 image data, including 40 categories, each category has 8 images, namely Each sample is of size R 64×64 . Then the 2D probabilistic discriminant an...
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