SYSTEMS AND METHODS FOR BIOMETRIC IDENTIFICATION USING HANDWRITING RECOGNITION
First Claim
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1. A method for identifying an originator of a handwriting specimen, comprising:
- converting the handwriting specimen into an electronic image;
converting the electronic image into a mathematical graph;
detecting similarities between the mathematical graph and a plurality of stored graphs;
aligning vertices and edges of the mathematical graph with similar stored graphs;
comparing the mathematical graph with the similar stored graphs; and
identifying the originator of the handwriting specimen based on the comparison.
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Abstract
A biometric handwriting identification system converts characters and a writing sample into mathematical graphs. The graphs comprise enough information to capture the features of handwriting that are unique to each individual. Optical character recognition (OCR) techniques can then be used to identify these features in the handwriting sample so that drafts from two different samples can be aligned to compare to determine if the features in the writing sample correlate with each other.
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Citations
21 Claims
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1. A method for identifying an originator of a handwriting specimen, comprising:
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converting the handwriting specimen into an electronic image; converting the electronic image into a mathematical graph; detecting similarities between the mathematical graph and a plurality of stored graphs; aligning vertices and edges of the mathematical graph with similar stored graphs; comparing the mathematical graph with the similar stored graphs; and identifying the originator of the handwriting specimen based on the comparison. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification