5 results about "Minutiae" patented technology

A system and a method for verifying authenticity of a physical copy and a digital copy of a document are disclosed. The method comprises registering a document in a repository by storing details related to the document in a location of the repository. A symbology for the document is generated. The symbology is an identifier of the location of the repository comprising the document. The symbology is associated with either a physical or a digital copy of the document. The digital copy of the document is printed to generate a printed copy. The printed copy or the physical copy of the document is scanned to generate a scanned image. The document and the details related to the document present at the location of the repository are accessed. The scanned image is compared with the document stored in the repository to determine the authenticity of either the physical copy or the digital copy of the document.

The present application relates to the fingerprint identification technical field, especially a kind of fingerprint image periodic noise removal method, device and computer readable storage medium, the present application is directed to fixed period, random phase's fingerprint periodic noise, by pre-acquiring noise period and in the frequency domain only acts on fixed frequency point, not with the phase change trap wave filter mask, realize the phase robust noise stable suppression, while accurate keep ridge and minutia, with the advantages of low computational complexity, adapt embedded terminal, improve the identification accuracy of low-quality fingerprint image and robustness.

The application discloses a method for reducing fingerprint identification and forgery by using ORB image local features, comprising the following steps: S1, extracting minutia points of a to-be-matched fingerprint image; S2, marking a region around the minutia points of the to-be-matched fingerprint image, and extracting ORB key points of the marked region; S3, calculating minutia point pairs of the to-be-matched fingerprint image, and judging whether the calculated minutia point pairs are within a preset minutia point pair range; if not, the to-be-matched fingerprint image fails to match; if yes, step S4 is performed; S4, matching the ORB key points of the to-be-matched fingerprint image according to the calculated minutia point pairs, and judging whether the number of the matched ORB key points is greater than or equal to a preset ORB key point matching number; if not, the to-be-matched fingerprint image fails to match; if yes, step S5 is performed; and S5, the to-be-matched fingerprint image succeeds in matching.

The embodiment of the application provides a kind of based on optimal transmission's fingerprint minutia matching method and device.The method includes: obtaining the minutia set of first fingerprint and second fingerprint, and constructs the node feature including position, direction and local structure information;Based on node feature, the matching cost function considering embedding similarity, spatial distance, direction consistency and minutia quality is established, and the minutia matching cost matrix is formed;On the basis of the cost matrix, introduce absorption bucket mechanism to process missing or false minutia, construct extended optimal transport model, and adopt iterative normalization algorithm to solve optimal transport matching matrix;Finally, according to the matching matrix, the fingerprint similarity score is calculated and the matching result is output.The application can effectively overcome the comparison problem of incomplete and deformed fingerprints, improve the accuracy and robustness of on-site fingerprint identification.

The application discloses a method and device for fingerprint living body detection and electronic equipment. The method comprises the following steps: acquiring direction field information corresponding to a to-be-detected fingerprint image, a fingerprint enhanced image and a minutia point list; dividing the to-be-detected fingerprint image into a ridge line area image and an edge area image according to the fingerprint enhanced image; performing a direction field guided center difference convolution operation on the ridge line area image according to the direction field information to obtain a first initial feature map; performing a random rotation operation on the minutia points corresponding to the edge area image in the minutia point list to obtain a second initial feature map; and determining feature vectors corresponding to the first initial feature map and the second initial feature map respectively by using a fingerprint living body detection network, and determining a detection result according to the feature vectors, wherein the fingerprint living body detection network is used for detecting whether the fingerprint image is a real fingerprint image. The application solves the technical problem that the generalization ability of the fingerprint recognition method in the related art is poor and the counterfeit fingerprint cannot be distinguished.