Latent fingerprint pattern estimation

    公开(公告)号:US10755074B2

    公开(公告)日:2020-08-25

    申请号:US16223490

    申请日:2018-12-18

    申请人: MorphoTrak, LLC

    IPC分类号: G06K9/00

    摘要: Systems and methods may be used by an automatic fingerprint identification system to estimate patterns of a latent fingerprint. A latent fingerprint image, and a plurality of reference ridge flow maps may initially be obtained. Each reference ridge flow map may be associated with a particular fingerprint pattern. A latent ridge flow map for the obtained latent fingerprint image may be computed. One or more characteristics associated with the latent ridge flow map may be compared to one or more characteristics associated with each of the plurality of reference ridge flow maps. A similarity score between the latent ridge flow map and a particular reference ridge flow map may be computed for each of the plurality of reference ridge flow maps. One or more fingerprint patterns present within the latent fingerprint may then be determined and provided for output.

    Scale-Invariant Feature Point Extraction in Edge Map

    公开(公告)号:US20190205693A1

    公开(公告)日:2019-07-04

    申请号:US15857460

    申请日:2017-12-28

    申请人: MORPHOTRAK, LLC

    IPC分类号: G06K9/46

    摘要: Systems and methods may be used to detect scale invariant features in an image. Circle like region points may be detected from a plurality of edge maps produced from a plurality of smoothed images. Edge maps are obtained by taking partial derivatives of multi-scaled smoothed images and the smoothed images might be obtained from down scaled image and convolved with different scaled filters. The strong ridges are kept for circle detection based on the scale-normalized edge strength and direction of the point. A 2-1 Hough Transform is used to detect the circles at the radius as a function of the standard deviation of the filter. Only the strong circle points are kept to calculate the descriptors. Multi descriptors are calculated at the regions around the circle points from a plurality of images. The images might include the smoothed images, the difference of the images and the edge map images.

    AUTOMATIC RULER DETECTION
    3.
    发明申请

    公开(公告)号:US20190138840A1

    公开(公告)日:2019-05-09

    申请号:US16222755

    申请日:2018-12-17

    申请人: MORPHOTRAK, LLC

    摘要: In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.

    AUTOMATED TATTOO RECOGNITION TECHNIQUES
    4.
    发明申请

    公开(公告)号:US20190122367A1

    公开(公告)日:2019-04-25

    申请号:US16223816

    申请日:2018-12-18

    申请人: MorphoTrak, LLC

    摘要: In some implementations, a computer-implemented method is capable of automatically segmenting and detecting a tattoo within an image. An image may be initially obtained. A block coverage pattern that identifies multiple blocks within the obtained image may be determined. A set of processing operations may then be performed for each block. The processing operations may include calculating a plurality of statistical features. A confidence score reflecting a likelihood that at least a portion of the block includes a predetermined graphical attribute associated with tattoos may be calculated. A subset of the multiple blocks of the image that have a respective confidence score greater than a predetermined threshold value may be identified. A portion of the image that includes one or more blocks from among the subset of the multiple blocks may then be determined to correspond to a tattoo.

    Automatic ruler detection
    5.
    发明授权

    公开(公告)号:US10192137B2

    公开(公告)日:2019-01-29

    申请号:US14942417

    申请日:2015-11-16

    申请人: MORPHOTRAK, LLC

    摘要: In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.

    Palm print image matching techniques

    公开(公告)号:US10192098B2

    公开(公告)日:2019-01-29

    申请号:US15260853

    申请日:2016-09-09

    申请人: MorphoTrak, LLC

    摘要: In some implementations, a method may be used for matching palm print images. A search template that identifies at least a plurality of distinctive search orientation blocks within a search orientation field may be initially generated for a search palm print image. A reference template may be obtained. A mated distinctive reference orientation block may be identified for each of the distinctive search orientation blocks. One or more regions of the search orientation field that include the distinctive search orientation blocks may be compared against one or more corresponding regions of the reference orientation field. An orientation similarity score between the search palm print image and the reference palm print image may be computed based on the comparison. A match may finally be determined if the computed orientation score satisfies a predetermined threshold value.

    FAST CURVE MATCHING FOR TATTOO RECOGNITION AND IDENTIFICATION

    公开(公告)号:US20190012561A1

    公开(公告)日:2019-01-10

    申请号:US15643308

    申请日:2017-07-06

    申请人: MorphoTrak, LLC

    IPC分类号: G06K9/46 G06K9/62 G06K9/00

    摘要: Some implementations of the systems and techniques described include a tattoo recognition system that is capable of improving the accuracy and efficiency associated with matching edge curves extracted from tattoo images, which are typically performed during a tattoo matching operation. The system can perform a matching operation in two stages—a feature extraction stage and a matching stage. In the first stage, the system extracts one or more edge curves from the tattoo image. In the second stage, the system performs matching using a two-step comparison that compares features of the extracted edge curves.

    AUTOMATIC RULER DETECTION
    8.
    发明申请

    公开(公告)号:US20210124978A1

    公开(公告)日:2021-04-29

    申请号:US16895493

    申请日:2020-06-08

    申请人: MORPHOTRAK, LLC

    摘要: In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.

    Symbol detection for desired image reconstruction

    公开(公告)号:US10395090B2

    公开(公告)日:2019-08-27

    申请号:US15943486

    申请日:2018-04-02

    申请人: MorphoTrak, LLC

    IPC分类号: G06K9/00 G06K9/20 G06K9/42

    摘要: In some implementations, a computer-implemented method includes: obtaining a captured image including, (i) a latent fingerprint to be captured, and (ii) a template, surrounding the latent fingerprint, that contains plurality of symbols; extracting, using an image processing technique, one or more characteristics for each of the plurality of symbols; calculating a resolution for the captured image based at least on the extracted one or more characteristics for each of the plurality of symbols; generating a reconstructed desired image, based at least on (i) the calculated resolution of the captured image, and (ii) the one or more extracted characteristics for each of the plurality of symbols; and providing the reconstructed desired image to a fingerprint identification system to perform a particular fingerprint operation.

    LATENT FINGERPRINT RIDGE FLOW MAP IMPROVEMENT

    公开(公告)号:US20190205589A1

    公开(公告)日:2019-07-04

    申请号:US15857267

    申请日:2017-12-28

    申请人: MorphoTrak, LLC

    IPC分类号: G06K9/00

    CPC分类号: G06K9/001 G06K9/0008

    摘要: Systems and methods may be used by an automatic fingerprint identification system to estimate ridge flow maps in latent fingerprints. A latent fingerprint image and a plurality of reference ridge flow maps may initially be obtained. A latent ridge flow map for the obtained latent fingerprint image may be computed. One or more characteristics associated with the latent ridge flow map may be compared to one or more characteristics associated with each of the plurality of reference ridge flow maps. A similarity score between the latent ridge flow map and a particular reference ridge flow map may be computed for each of the reference ridge flow maps. The top closely matched ridge flow maps are used to improve the latent ridge flow map to enhance the latent fingerprint image to extract better set of minutia points to improve latent to ten-print matching accuracy.