Method for separating superimposed fingerprint images

Abstract

The invention relates to a method for separating superimposed fingerprint images, which comprises the following steps: carrying out processing on a superimposed fingerprint image according to a fingerprint profile so as to obtain a background region image, a fingerprint superimposed region image and a single fingerprint region image; carrying out operation on the single fingerprint region image by using a gradient algorithm so as to obtain a first kind of fingerprint initial orientation field data, and carrying out operation on the fingerprint superimposed region image by using a local Fourier analysis algorithm so as to obtain a second type of fingerprint initial orientation field data, carrying out processing on the fingerprint initial orientation field data by using a loose labeling algorithm so as to obtain two types of rough fingerprint orientation field image files, and determining the optimal combination of fingerprint singular-points through a minimized original orientation field and a model-based orientation field reconstructed by the fingerprint singular-points; carrying out fingerprint orientation field reconstruction according to a hybrid model so as to obtain model-based fingerprint fine orientation field data; and carrying out processing on the model-based fingerprint fine orientation field data by using a filtering enhancement algorithm so as to obtain two fingerprint image files subjected to separation.

Description

technical field [0001] The invention relates to a method for separating overlapping fingerprint images, which uses a computer device and a calculation program to separate the overlapping fingerprint images, and obtains fingerprint overlapping area images and single fingerprint area images according to the fingerprint outline; using gradient algorithm, local Fourier analysis algorithm, The relaxed labeling algorithm processes the initial fingerprint direction field data, reconstructs the fingerprint direction field according to the hybrid direction field model, and uses the filter enhancement algorithm to process the fine fingerprint direction field data. Background technique [0002] In the prior art, the processing of overlapping fingerprints is usually manually marked by fingerprint experts, which is cumbersome and error-prone, so it is necessary to study the automatic separation technology of overlapping fingerprints. Recently, there have been some academic research resul...

AI Technical Summary

Problems solved by technology

The first and second methods in the prior art have achieved good results on simulated fingerprint images, but cannot be used for real fingerprint images

The third type can only be used for low-quality overlapping fingerprint separation, but it needs to manually mark singular points and direction field clues, which is very cumbersome to mark direction field clues

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