Fingerprint Cross-Library Matching Algorithm Based On Minutiae Space Topological Relation

Fingerprint identification technology is widely used in all aspects of human social life as a popular identity identification method with its stable security,reliability and convenience.At present,fingerprint recognition has been very mature in terms of large-area fingerprint recognition,high-quality fingerprint recognition,adult fingerprint recognition,and fingerprint recognition between single databases,its application in various fields of society is also increasing.However,in areas such as small-area fingerprint recognition,low-quality fingerprint recognition,infant fingerprint recognition,and fingerprint cross-matching identification,the recognition accuracy still needs to be improved,the recognition algorithms and related theories have to be explored.In the field of fingerprint cross-matching identification,fingerprint images come from sensors of different principles and specifications,resulting in large non-linear deformation,scaling and rotation translation changes between the fingerprints to be matched.Compared with conventional fingerprint matching,the recognition rate between cross-library fingerprints is low.Fingerprint cross-matching has become one of the research hotspots in the field of fingerprint recognition.In this paper,we have done some exploratory work in the field of fingerprint cross-matching recognition for the problem of large nonlinear deformation,including the following aspects.(1)This paper proposes a minutia-based hybrid feature operator.On the basis of the classic minutiae direction operator,the fingerprint frequency information is integrated and used for fingerprint matching.Through feature fusion,the accuracy of fingerprint minutiae matching is increased,which lays a good foundation for subsequent fingerprint crossmatching.(2)This paper proposes a fingerprint cross-matching algorithm based on the detailed spatial feature fusion.This algorithm combines the minutiae hybrid feature descriptor with the propagation algorithm for the problem of large nonlinear deformations between cross-matching images.The minutia space topology is used as a constraint condition in the matching process to realize the fingerprint cross-matching.(3)In this paper,the combination of fingerprint minutiae feature and ridge feature of the cross-matching is realized.Based on the propagation algorithm,adding the ridge counting features which are less affected by the nonlinear deformation,then obtain the ridge similarity.The similarity score of the minutiae and ridges are merged as the matching score of the images,so that the minutiae information and the ridge information can complement each other and a lower EER value is achieved.In this paper,the cross-match experiments on the three sub-databases of Fingerpass are carried out on the proposed innovative algorithm.The results show that the best EER value of the proposed algorithm is 2.01% and the average EER reaches 2.28%.Compared with other algorithms,performance has improved significantly,which verifies the effectiveness of the proposed method.