Fingerprint image splicing method based on detailed points and distance image

Abstract

The invention belongs to the field of digital image processing technology and discloses a fingerprint image splicing method based on detailed points and a distance image. According to the method, a detailed point pair with the highest matching score in two fingerprint images is obtained according to a fingerprint image matching algorithm based on the detailed points to serve as a reference point pair of rough matching, and rotational translation parameters corresponding to rough matching are solved; and whether rotational translation parameters of fine matching are optimal rotational translation parameters is judged according to a ridge matching error of an overlapping region between a detailed image of the first image and the distance image of the second image nearby the rotational translation parameters of rough matching. Through the method, the probability of erroneous matching is lowered, and splicing errors generated due to erroneous matching of the detailed point pairs are reduced; the problem that the number of the matching detailed point pairs is small due to the fact that the overlapping region is small is avoided; and moreover, the ridge matching error of the overlapping region between the fingerprint images is used to solve the optimal rotational translation parameters, so that fingerprint splicing errors are further reduced.

Description

Technical field [0001] The invention belongs to the technical field of digital image processing, and particularly relates to a fingerprint image stitching method based on minutiae points and distance images. Background technique [0002] In the automatic fingerprint identification system, the formation of the fingerprint template is the purpose of the fingerprint registration stage. Only when a better fingerprint template is formed in the registration stage, can it be accurately judged whether the input fingerprint image is the fingerprint image of the user in the authentication stage. However, with the wide application of small-area fingerprint collection instruments on various devices, the collected fingerprint images are relatively small, and the fingerprint images contain less information for fingerprint image registration. Most of the existing fingerprint stitching algorithms select minutiae points of fingerprint images as reference points for fingerprint stitching. There ar...

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Problems solved by technology

[0003] In summary, the existing problems in the prior art are: the reference point selection of the existing fingerprint image stitching method may make the error between the stitched images formed by the two fingerprint images larger or the stitched image cannot be formed; the existing fingerprint image stitching algorithm The reliability of the standard for judging whether the fingerprint image is accurately spliced ​​is low, so there is a certain error in the formed spliced ​​image

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