Cogent Systems, Inc.

3m Cogent, Inc.

3m Innovative Properties Company

Ming Hsieh

Jing Wang

Huansheng Xue

Chunyu Lu

Ankuo Wang

Songtao Li

Xiangshu Wei

Xian Tang

Ping Chen

Fei Zhou

Wheshi Chen

Huanshen Xue

A device and method for determining a concentration of a biological target including capturing an image of a ticket that contains the biological target; extracting a region of interest from the captured image; detecting a target from the extracted region of interest; computing intensity of the target in the region of interest; and determining the concentration of the biological target according to the computed intensity.

Method and device for image-based biological data quantification

A method and device for determining a concentration of a biological target. The method and device include: capturing an image of a ticket including the biological target and information about the ticket; selecting pre-determined data corresponding to the ticket and the target responsive to the read information about the ticket; and determining the concentration of the biological target according to the pre-determined data. The method and device may further comprise selecting calibration data corresponding to the ticket, responsive to the read information about the ticket; and determining the concentration of the biological target according to the pre-determined data and the calibration data.

Bio-reader device with ticket identification

A method and system for matching two biometric images including receiving an input biometric image; generating an index table for the input biometric image, wherein the index table includes a quality quantity for each minutia of the input biometric image; receiving a second biometric image; generating a number of patterns for a first minutia of the second biometric image; associatively accessing the index table by the generated number of patterns; accumulating quality quantities accessed from the index table for each minutia of the input biometric image for the number of patterns of the first minutia of the second biometric image; and selecting a minutia candidate of the input biometric image responsive to the accumulated quality quantities.

System and method for fast biometric pattern matching

An apparatus for capturing the image of a wet/moist fingerprint. The apparatus includes: a prism having an imaging plane on which a finger having valleys and ridges is place, a bottom plane parallel to the imaging plane and a reflective plane intercepting the imaging plane and intercepting the bottom plane at an angle &#x3b1;; a light source for generating a light with an incident angle of approximately 0&#xb0; with respect to a surface normal of the imaging plane; and a lens for capturing light reflected from the reflective plane. The apparatus further includes an image sensor for generating an image of the valleys and ridges of the finger, wherein the reflective plane is arranged in such a way to meet the equation of &#x3b1;&#x3e;45 +(arc sin (n/n))/2, where nis a refraction index of medium filled between the valleys of the finger and the imaging plane, and nis refraction index of the prism.

Apparatus for capturing a high quality image of a moist finger

In one embodiment, the present invention is a system for organizing data flow for two dimensional digital image processing. The system includes a memory access module for accessing an external memory containing image data to be processed, and a data flow organizer module for preparing a data stream from the input image data accessed by the memory access module. The data flow organizer module predicts future data needed for processing, and the memory access module pre-fetches the predicted data from the memory. A data processing module processes the pre-fetched data from the data flow organizer module. Address generation for accessing the memory is performed independent and in parallel with processing the pre-fetched data.

Method and apparatus for two dimensional image processing

In one embodiment, the present invention is a system for two dimensional digital image processing. The system includes a memory access module for accessing a memory containing image data to be processed, and a data flow organizer module for preparing a data stream from the input image data accessed by the memory access module. The data flow organizer module predicts future data needed for processing, and the memory access module pre-fetches the predicted data from the memory. A data processing module processes the pre-fetched data from the data flow organizer module. Address generation for accessing the memory is performed independent and in parallel with processing the pre-fetched data.

In one embodiment, the invention is a method for generating geometric patterns from an image having a plurality of ridges and mesh points. The method includes dividing the image into a plurality of local regions with a surface appearance of fluid flow; establishing a mathematical model according to conditions of the plurality of local regions with a surface appearance of fluid flow; solving the mathematical model; and mapping respective values of the solutions of the mathematical model to respective local regions of the image.

Numerical model for image feature extraction

In one embodiment, the present invention is a system for two dimensional digital image processing. The system includes a memory access module for accessing a memory containing image data to be processed, and a data flow organizer module for preparing a data stream from the input image data accessed by the memory access module. The data flow organizer module predicts future data neede for processing, and the memory access module pre-fetches the predicted data from the memory. A data processing module processes the pre-fetched data from the data flow organizer module. Address generation for accessing the memory is performed independent and in parallel with processing the pre-fetched data.

In one embodiment, the invention is a method for generating geometric patterns from an image having a plurality of ridges and mesh points. The method comprising the steps of: establishing a mathematical model according to regional conditions in the image; converting the mathematical model into numerical equations; solving the numerical equations; and transferring the solutions of the numerical equations to respective regions of the image.

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South Pasadena, CA, United States of America

Ming Hsieh