A telemedicine system with dynamic imaging is disclosed herein. In some embodiments, the telemedicine system comprises a laser imaging and treatment apparatus, and associated systems and methods that allow a physician (e.g., a surgeon) to perform laser surgical procedures on an eye structure or a body surface with a laser imaging and treatment apparatus disposed at a first (i.e. local) location from a control system disposed at a second (i.e. remote) location, e.g., a physician's office. Also, in some embodiments, communication between the laser imaging and treatment apparatus and control system is achieved via the Internet®. Further, in some embodiments, the telemedicine system includes a dynamic imaging system and/or a facial recognition system that verifies the identity of a patient, and is capable of being used for other important applications, such as tracking and analyzing trends in a disease process.

Systems and methods of biometric identification of a subject have steps of providing a light source and an imager, positioning a subject hand palm facing the light source and imager, illuminating the palm with the light source, capturing an image of the palm, and determining characteristics of capillary beds in the image. The present invention may include the step of identifying the subject based on the characteristics of the capillary beds. The step of determining characteristics of capillary beds in the image may include determining locations of the capillary beds. The present invention may include the step of processing the image to filter image features of the palm other than the capillary beds. Processing the image to filter image features of the palm other than the capillary beds may include removing surface ridge pattern features and spatially filtering to remove detail with a frequency of less than a selected threshold.

Methods and systems for of generating reporting data in an automated, efficient, and risk-free fashion relating to an identification match relating to a probe image are disclosed. Methods include automatically capturing a comparison area in the probe image and a comparison area of a candidate image based on examiner input; facilitating a determination of whether a similarity or a dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image; automatically recording metadata based on the determination of whether the similarity or the dissimilarity exists between the comparison area in the probe image and the comparison area of the candidate image and updating an audit log; and generating a report comprising the metadata.

A synthesizing apparatus comprises: an input part that inputs a plurality of feature point sets that are respectively extracted by a plurality of methods from an input image having a curved stripes pattern formed by ridges; and a synthesizing part that synthesizes the plurality of feature point sets by executing a logical operation on the plurality of feature point sets. The synthesizing part can execute a logical OR operation on the plurality of feature point sets. The synthesizing part can also execute a logical AND operation on the plurality of feature point sets.

The present invention relates to a method for progressively enrolling a user of a smart card, specifically applying a multi-step activation process for enabling fingerprint authentication for the smart card. The invention also relates to a corresponding smart card and to a computer program product. The present invention provides a solution for seamless fingerprint enrollment for a smart card user.

A telemedicine system with dynamic imaging is disclosed herein. In some embodiments, the telemedicine system comprises a laser imaging and treatment apparatus, and associated systems and methods that allow a physician (e.g., a surgeon) to perform laser surgical procedures on an eye structure or a body surface with a laser imaging and treatment apparatus disposed at a first (i.e. local) location from a control system disposed at a second (i.e. remote) location, e.g., a physician's office. Also, in some embodiments, communication between the laser imaging and treatment apparatus and control system is achieved via the Internet®. Further, in some embodiments, the telemedicine system includes a dynamic imaging system and/or a facial recognition system that verifies the identity of a patient, and is capable of being used for other important applications, such as tracking and analyzing trends in a disease process.

Provided are an information processing apparatus, an information processing method, and a storage medium capable of acquiring feature information relating to sweat gland pores that can realize highly accurate identification of an individual. The information processing apparatus includes: a sweat gland pore extraction unit that extracts sweat gland pores from an image including a skin marking; and an information acquisition unit that acquires sweat gland pore information including position information about the sweat gland pore and directional information about the sweat gland pore for each of the sweat gland pores.

The present disclosure provides a fingerprint matching method and apparatus, an electronic equipment and a readable storage medium. The method includes: extracting a plurality of to-be-matched feature points from the to-be-identified fingerprint image; performing a first matching between the plurality of to-be-matched feature points and a plurality of template feature points in the template fingerprint image, wherein the first matching includes: identifying true feature points in the plurality of to-be-matched feature points, and determining feature point pairs each of which includes a true feature point and a template feature point corresponding to the true feature point in the template fingerprint image as a first matching result; removing at least one falsely matched feature point pair from the first matching result; and performing a second matching between the to-be-identified fingerprint image and the template fingerprint image based on remaining feature point pairs in the first matching result.

A method of verifying a fingerprint includes selecting a feature point from among feature points of a fingerprint image, the selected feature point matching a registered feature point; determining a partial region of the fingerprint corresponding to the feature point in the fingerprint image; obtaining feature information of the partial region of the fingerprint in the fingerprint image; and verifying the fingerprint based on the feature information of the partial region in the fingerprint image.

A biometric recognition system is described. The biometric recognition system includes a user system with a biometric able to scan a finger and provide an image. From the image, a plurality of features are extracted to create at least one fingerprint feature vector using a convolutional neural network.