Patents by Inventor Peter Zhen-Ping Lo

Peter Zhen-Ping Lo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10423817
    Abstract: 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.
    Type: Grant
    Filed: December 28, 2017
    Date of Patent: September 24, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Peter Zhen-Ping Lo, Hui Chen
  • Patent number: 10395090
    Abstract: 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.
    Type: Grant
    Filed: April 2, 2018
    Date of Patent: August 27, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Laurent Semy Kazdaghli, Peter Zhen-Ping Lo, Jean-Christophe Francois Marie Fondeur
  • Publication number: 20190205589
    Abstract: 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.
    Type: Application
    Filed: December 28, 2017
    Publication date: July 4, 2019
    Inventors: Peter Zhen-Ping Lo, Hui Chen
  • Publication number: 20190205693
    Abstract: 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.
    Type: Application
    Filed: December 28, 2017
    Publication date: July 4, 2019
    Applicant: MORPHOTRAK, LLC
    Inventors: Hui Zhu, Peter Zhen-Ping Lo
  • Publication number: 20190205611
    Abstract: In some implementations, a system is capable of improving the results of a matching operation by normalizing match scores with respect to quality levels of compared fingerprints and/or attributes of the compared fingerprints. The system initially obtains match data of the matching operation. The match data can include baseline record match scores for a set of reference records that are compared against a search record. The system then uses normalization techniques to normalize the values of the baseline record match scores with respect to, for example, quality levels of the search and reference records, and various attributes of the compared fingerprints, such as fingerprint quality, finger position, and detected fingerprint patterns. The normalized record match scores can therefore be used to more accurately represent the similarity between the search record and the reference records.
    Type: Application
    Filed: November 15, 2018
    Publication date: July 4, 2019
    Applicant: MorphoTrak, LLC
    Inventors: Peter Zhen-Ping Lo, Hui Zhu, Hui Chen
  • Publication number: 20190205590
    Abstract: In one aspect, methods that use a novel representation, referred to as an octant feature vector (OFV), are used for matching distorted fingerprints. For instance, a feature-based matcher for distorted fingerprint matching may use a two-step local and global matching scheme to compare a set of feature vectors that are derived from minutiae of a reference fingerprint and a search fingerprint. The relative geometric relationships between the reference minutia and nearest minutiae may be derived and encoded into a feature vector based on orientation difference. The OFV is invariant to the rigid transformations and is insensitive to nonlinear distortions since the relative geometric relationships are independent from the rigid transformation.
    Type: Application
    Filed: March 8, 2019
    Publication date: July 4, 2019
    Applicant: MorphoTrack, LLC
    Inventors: Peter Zhen-Ping Lo, Hui Chen
  • Publication number: 20190205433
    Abstract: In some implementations, an image recognition system is capable of using an iterative multi-stage image matching procedure to improve the accuracy and/or reliability of matching a search image with a small number of distinctive feature points to reference images. In the first stage, the system compares a search template for the search image to reference templates of each image within the set of reference images. The system determines a best-matched reference image from among the reference images of the set of reference images. In the second stage, the system compares the hybrid search template to one or more reference templates of reference images that is not the best-matched reference image. The comparison can be used to either compute match scores for reference images corresponding to the one or more reference templates.
    Type: Application
    Filed: November 15, 2018
    Publication date: July 4, 2019
    Applicant: MorphoTrak, LLC
    Inventors: Peter Zhen-Ping Lo, Hui Zhu, Hui Chen, Jianguo Wang
  • Publication number: 20190205613
    Abstract: A list of possible mated minutiae in a reference fingerprint and a search fingerprint is identified. The list of possible mated minutiae is divided into different groups of mated minutiae using pose grouping based on rigid transformation parameters. For each group, the possible mated minutiae are filtered to get a set of consistent mated minutiae pairs having similar rigid transformation. The topological consistency between groups is determined. If any two groups are topologically consistent to each other, they are merged to form a (virtual) larger group. A non-linear transformation parameters are estimated from the the mated minutiae in the merged group. The overall similarity of mated and non-mated minutiae in the overlapping area is determined after non-linear alignment of the two fingerprints, and the maximum similarity is output as the final similarity score between two fingerprints.
    Type: Application
    Filed: December 31, 2017
    Publication date: July 4, 2019
    Inventors: Peter Zhen-Ping Lo, Hui Chen
  • Patent number: 10319096
    Abstract: 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.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: June 11, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Darrell Hougen, Peter Zhen-Ping Lo
  • Publication number: 20190138840
    Abstract: 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.
    Type: Application
    Filed: December 17, 2018
    Publication date: May 9, 2019
    Applicant: MORPHOTRAK, LLC
    Inventors: Darrell Hougen, Peter Zhen-Ping Lo
  • Publication number: 20190138780
    Abstract: 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.
    Type: Application
    Filed: December 17, 2018
    Publication date: May 9, 2019
    Applicant: MorphoTrak, LLC
    Inventors: Hui Chen, Peter Zhen-Ping Lo
  • Publication number: 20190122367
    Abstract: 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.
    Type: Application
    Filed: December 18, 2018
    Publication date: April 25, 2019
    Applicant: MorphoTrak, LLC
    Inventors: Darrell Hougen, Peter Zhen-Ping Lo
  • Publication number: 20190122020
    Abstract: 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.
    Type: Application
    Filed: December 18, 2018
    Publication date: April 25, 2019
    Applicant: MorphoTrak, LLC
    Inventors: Hui Chen, Peter Zhen-Ping Lo
  • Patent number: 10255477
    Abstract: In one aspect, methods that use a novel representation, referred to as an octant feature vector (OFV), are used for matching distorted fingerprints. For instance, a feature-based matcher for distorted fingerprint matching may use a two-step local and global matching scheme to compare a set of feature vectors that are derived from minutiae of a reference fingerprint and a search fingerprint. The relative geometric relationships between the reference minutia and nearest minutiae may be derived and encoded into a feature vector based on orientation difference. The OFV is invariant to the rigid transformations and is insensitive to nonlinear distortions since the relative geometric relationships are independent from the rigid transformation.
    Type: Grant
    Filed: May 31, 2017
    Date of Patent: April 9, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Peter Zhen-Ping Lo, Hui Chen
  • Publication number: 20190095691
    Abstract: In some implementations, a computer-implemented method may include: identifying one or more neighboring minutiae within a particular octant neighborhood for the octant feature vector for each minutia included in a list of minutiae associated with a search fingerprint; computing, for each minutia included in the list of minutiae, a direction difference between each minutia included in the list of minutiae, and each of the one or more neighboring minutiae identified for the octant feature vector for each minutia included in the list of minutiae; computing, for each minutia included in the list of minutiae, a minutia quality confidence; and computing a fingerprint quality confidence.
    Type: Application
    Filed: November 9, 2018
    Publication date: March 28, 2019
    Inventors: Hui Chen, Peter Zhen-Ping Lo
  • Patent number: 10198613
    Abstract: 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.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: February 5, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Hui Chen, Peter Zhen-Ping Lo
  • Patent number: 10198821
    Abstract: 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.
    Type: Grant
    Filed: August 21, 2018
    Date of Patent: February 5, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Darrell Hougen, Peter Zhen-Ping Lo
  • Patent number: 10192137
    Abstract: 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.
    Type: Grant
    Filed: November 16, 2015
    Date of Patent: January 29, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Darrell Hougen, Peter Zhen-Ping Lo
  • Patent number: 10192098
    Abstract: 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.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: January 29, 2019
    Assignee: MorphoTrak, LLC
    Inventors: Hui Chen, Peter Zhen-Ping Lo
  • Publication number: 20190012561
    Abstract: 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.
    Type: Application
    Filed: July 6, 2017
    Publication date: January 10, 2019
    Inventors: Darrell Hougen, Peter Zhen-Ping Lo