Due to the uniqueness and invariability of fingerprints, and better feasibility and utility of fingerprint verification technology, the automated identification based on fingerprints is becoming an attractive alternative to the traditional methods of identification.
In this paper, we have analyzed the image processing of fingerprint images which are based on wavelets transforms. The image process is mainly composed of two sections, which are fingerprint filtering process and fingerprint the enhancement which are based on wavelets transform. At the same time, there to be introduce the fingerprint preprocess. The fingerprint preprocess is to remove noise and it will translate into a plain point-line image, which is convenient for extracting the perfect fingerprint character.
Because the fingerprint matching algorithm based on point pattern matching is not quick enough, a new fingerprint matching algorithm is presented here. Lines matching technique is used in the algorithm for seeking pairs of reference minutiae. Through experiments, the algorithm is proved accurate, quick, and invariable to translation and rotation of images. According to fingerprint images of moderate sizes, the needs of online application can be met. The algorithm is expected to be a convenient and effective fingerprint matching technique.
