A new fingerprint image recognition approach using artificial neural network

In this article, the application algorithm in fingerprint image recognition based on artificial neural network and wavelet transform is put forward. In this algorithm, we have constructed a flatten-structure element utilizing the low-frequency parameters, which can affect the high-frequency parameters with the flatten-structure element. In this way we can enhance the fingerprint image with keeping the global texture feature of fingerprint. The experiment results indicate that this increase effect of image-pretreatment in fingerprint image recognition is good and the algorithm is effective.