FINGER ASPERITY RESISTIVE DISCHARGE WAFER-SCALE INTEGRATION FOR FORENSIC PALM PRINT COLLECTION
First Claim
1. An asperity scanning apparatus comprising:
- a sensor module having a plurality of sensor cell clusters, wherein each sensor cell cluster includes;
a plurality of solid-state sensor cells, wherein each solid-state sensor cell is configured to;
make an measurement of asperity, andprovide a single-bit binary output based, at least in part, on the measurement of asperity; and
voting logic circuitry coupled with each of the plurality of solid-state sensor cells and configured to provide a single output based on the single-bit binary output of each of the plurality of solid-state sensor cells.
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Abstract
Techniques are disclosed herein for artificial intelligence machine learning to increase collection of digital livescan fingerprints. According to certain embodiments of the invention, processing parameters can be automatically machine-optimized for processing scan images of fingerprints (and other areas) to increase the amount of detected minutia. The processing parameters can alter and change over time to reflect historical successes and failures of particular optimizations. This allows a fingerprint collection device to learn over time and become more accurate (i.e., more successful at detecting minutia). Additionally, the techniques further include receiving input from a user regarding physical traits of a scanned subject, to further customize the processing parameter optimization. Various other features are provided herein.
41 Citations
20 Claims
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1. An asperity scanning apparatus comprising:
a sensor module having a plurality of sensor cell clusters, wherein each sensor cell cluster includes; a plurality of solid-state sensor cells, wherein each solid-state sensor cell is configured to; make an measurement of asperity, and provide a single-bit binary output based, at least in part, on the measurement of asperity; and voting logic circuitry coupled with each of the plurality of solid-state sensor cells and configured to provide a single output based on the single-bit binary output of each of the plurality of solid-state sensor cells. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for processing asperity data, the method comprising:
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measuring asperity with each solid-state sensor cell of a plurality of solid-state sensor cells in a sensor cell cluster; providing, with each solid-state sensor cell of the plurality of solid-state sensor cells, a single-bit binary output based, at least in part, on the measurement of asperity; combining the single-bit binary output of each of the plurality of solid-state sensor cells to provide a single output for the sensor cell cluster; and creating an image of asperity features based, at least in part, on outputs of a plurality of sensor cell clusters. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A system for imaging friction ridges of skin, the system comprising:
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sensing means for; taking a measurement of asperity of a portion of the skin at each sensor cell of a plurality of sensor cells in a sensor cell cluster; and providing a single-bit binary output for each sensor cell of the plurality of sensor cells, based, at least in part, on the measurement of asperity; voting logic means for combining the single-bit binary output of each of the plurality of sensor cells to provide a single output for the sensor cell cluster; and imaging means for creating an image of the friction ridges of the skin, at least in part, on outputs of a plurality of sensor cell clusters. - View Dependent Claims (17, 18, 19, 20)
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Specification