Fingerprint cipher design and matching based on orientation pattern

First, the image is normalized to improve clarity of fingerprint image, and then cut accuracy feature extraction. Then smoothed reduce noise. Based on obvious directionality orientation, trend striations was analyzed by slicing method, based binarization refinement operation carried out eliminate skeleton fingerprint. When detail points are determined relationship between core can be compared determine whether matches. Before matching, effective obtained two methods: edge removal distance removal. After coordinates obtained, a series simplified abstract operations convert into hexadecimal numbers arrange them according certain rules. Finally, password less than 200 bytes obtained.