Introduction - If you have any usage issues, please Google them yourself
The fingerprint image is analyzed and summed up based on the various processing of wavelet transform. Image processing includes fingerprint image filtering based on wavelet transform and fingerprint image enhancement based on wavelet. At the same time, fingerprint image preprocessing is introduced. The purpose is to remove noise from fingerprint images, and transform it into a clear dot line graph, which is easy to extract the correct fingerprint features. It is carried out in four steps, namely, gray level filtering, two value, two value denoising and thinning.