The Research of Image Information Processing Based on the Improved BP Algorithm

ABSTRACT

As the original BP algorithm has slower convergence speed and the training process is easy to be trapped in local optimal solution. In the paper we put forward an improved algorithm and put it apply in the traditional filter. It solves the problem that when the traditional filter reduces the noise it will become fuzzy. And the algorithm reaches the purpose of image fusion and filtering the image noise. Finally, the experiment shows that the image fusion method based on improved BP neural network is superior to the traditional filter method. It can reduce the noise effectively and further it indicates that the performance of fusion-based method is better than any method used alone in fusion and can be used in fingerprint identification.

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