Research And Application Of Fingerprint Image Enhancement Algorithm Based On Anisotropic Diffusion

Automatic fingerprint recognition technology is now one of the most commonly used biometric identification technologies.The performance of the fingerprint recognition system is largely dependent on the quality of the input fingerprint.Normally,due to the influence of external environment and other factors,the noise generated during the fingerprint image acquisition will damage the fingerprint information and reduce the image contrast.Therefore,the degraded fingerprint image needs to be enhanced to facilitate the subsequent steps.This paper studies the fingerprint image enhancement method based on anisotropic diffusion,the main work is as follows:1.Sort out the relevant theories of fingerprint enhancement,and explain the importance of fingerprint image enhancement;2.Introduce the linear diffusion filtering process based on partial differential equations and the models of PM,Catte and FABD in nonlinear diffusion,and based on each anisotropic diffusion of edge enhancement and coherence enhancing diffusion algorithms,and at the same time,the shock filter algorithm is discussed;3.For the fingerprint image enhanced by coherence enhancing diffusion filter,there will be edge blurring and reduced contrast,and a new enhancement model is proposed : CED-SF model.The model uses the coherence enhancing diffusion algorithm to repair the degraded fingerprint image in the first stage,and then sharpens the edges by shock filter;4.To verify the effectiveness of the method in this paper,use MATLAB to perform simulation experiments and summarize the method in image enhancement And other three aspects.First,the three methods of this algorithm,coherence enhancing diffusion and shock filter are used to enhance the fingerprint image.The enhancement results show that the improved algorithm of this paper can not only retain the positive results of coherence enhancing diffusion,but also exert the sharpening characteristics of shock filter;Then,the algorithm of this paper is applied to the simulated fingerprint recognition algorithm,and the appropriate fingerprint image is selected as the template fingerprint.Experiments show that compared with the related algorithm,the algorithm of this paper can improve the matching degree and perform better in protecting the details of the fingerprint image;Finally,for artistic creation,select the image with obviousflow structure as the experimental object,compare the enhancement results of the three methods in this paper,coherence enhancing diffusion and shock filter,and analyze its characteristics in artistic creation and other aspects.