12 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 application discloses a high-low precision mixed multi-dimensional feature fusion fingerprint retrieval method. The method comprises the following steps: pre-processing minutia point data and constructing a fingerprint minutia point image; constructing an ORB fast fingerprint retrieval model based on multi-dimensional feature fusion; locating and correcting the fingerprint image detail feature points, and integrating multi-dimensional features such as direction angle and response size; generating feature point descriptors through scale pyramid transformation, center and direction angle calculation, extraction of binary descriptors and filtering of low correlation pixel blocks; matching the fingerprints by using the feature point descriptors; and for the higher precision fingerprint screening requirement, a rotation translation transformation difference method is proposed to improve the accuracy. The method has the beneficial effects that the matching and retrieval problem of the fingerprint minutia points is converted into the matching and retrieval problem of the image feature points, large-scale fingerprint retrieval is performed under the setting of low space-time complexity, and an improved strategy is proposed to realize high-low precision mixed fingerprint retrieval.

The invention discloses a partial fingerprint identification method based on multistage feature fusion, and relates to the field of image processing and mode identification, and the method comprises the steps: carrying out the preprocessing of an input fingerprint image, and obtaining a preprocessed fingerprint image; based on the preprocessed fingerprint image, first-level curvature features, second-level minutia features and third-level ridge line shape features are extracted; retrieving and classifying the fingerprint template library through the first-level curvature features to obtain a candidate fingerprint set; on the basis of the candidate fingerprint set, performing minutia point matching and ridge line shape matching through the second-level minutia point features and the third-level ridge line shape features to obtain minutia point matching scores and ridge line shape matching scores; and calculating a final matching score in combination with adaptive weight fusion to obtain a fingerprint matching judgment result. According to the method, the efficiency and precision of partial fingerprint identification and the adaptability to images with different qualities are improved by fusing multi-level features such as curvature, minutiae and ridge line shapes and adopting an adaptive weighting strategy.

A method and apparatus for verifying a ridge line in a fingerprint image are provided. The method comprises the steps that a middle pixel in pixels on a connecting line of a first pixel and a second pixel is determined, and the first pixel and the second pixel are intersection point pixels of the connecting line between the ridge line and two detail feature points in the fingerprint image at the edge of the ridge line; and determining whether the ridge line corresponds to an actual ridge line based on pixels from the middle pixel in a first direction and / or pixels from the middle pixel in a second direction, the first direction and the second direction being two opposite extension directions of the ridge line.

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.

Systems and methods for encoding data in a machine-readable image (e.g., an artificial fingerprint) are disclosed. The methods include segmenting a plurality of bits included in a bit stream to be encoded into a plurality of blocks such that each block includes two or more of the plurality of bits. The plurality of blocks are used to generate a minutiae template comprising a plurality of minutiae points each of which is representative of a local ridge discontinuity in a fingerprint, and is associated with a location and an orientation. An artificial fingerprint is generated from the minutiae template, and stored in association with the bit stream. The artificial fingerprint encodes the bit stream and comprises a plurality of ridges and a plurality of valleys.

The application discloses a fingerprint minutia point marking method and device and electronic equipment, and the method comprises the following steps: acquiring a to-be-marked fingerprint image, and searching for a marked fingerprint image of the same finger from a preset fingerprint image database according to finger information of the to-be-marked fingerprint image; mapping the minutia point information that has been marked in the marked fingerprint image to the to-be-marked fingerprint image; generating a new marked fingerprint image based on the mapped to-be-marked fingerprint image, and storing the new marked fingerprint image in the fingerprint image database. The technical scheme provided by the application can improve the efficiency and accuracy of fingerprint minutia point marking.

The application discloses a kind of based on optical coherence tomography's fingerprint extraction method and related equipment, comprising: by the mode of optical correlation tomography, the three-dimensional image of fingertip is obtained, according to preset image reconstruction mode, three-dimensional image is reconstructed, obtains N layer two-dimensional subsurface fingerprint image, respectively to each layer subsurface fingerprint image is extracted, and the feature map corresponding to each layer subsurface fingerprint image is obtained, and all feature maps are weighted fusion, and obtain fusion feature map, based on fusion feature map, determine the position map and direction map of each minutia point of fingerprint, and the position map and direction map of each minutia point are as target fingerprint information, improve the quality of extracted fingerprint minutia information.