Patents by Inventor Casey Stella

Casey Stella 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).

  • Targeted optical character recognition (OCR) for medical terminology
    Patent number: 9633271
    Abstract: Embodiments of the present invention provide concepts for correcting optical character recognition (OCR) errors from and OCR scan result by sequentially applying an anagram hash (AH) and Levenshtein-Distance (LD) measurement for concurrent character identity-based (machine code) and character shape-based (OCR-Key) corrections. The OCR-Key classifies characters by shape into one or more disjoint and overlapping classes. Similar shaped-based classes appearing in consecutive characters are appended to a cardinality term, a repetition count of the class. The LD measurement groups OCR-Keys and differentiates on both class and cardinality to arrive at a shape-based mismatch error between competing candidate words from an associated dictionary and a target word from the OCR scan.
    Type: Grant
    Filed: April 28, 2016
    Date of Patent: April 25, 2017
    Assignee: OPTUM, INC.
    Inventor: Casey Stella
  • TARGETED OPTICAL CHARACTER RECOGNITION (OCR) FOR MEDICAL TERMINOLOGY
    Publication number: 20160239716
    Abstract: Embodiments of the present invention provide concepts for correcting optical character recognition (OCR) errors from and OCR scan result by sequentially applying an anagram hash (AH) and Levenshtein-Distance (LD) measurement for concurrent character identity-based (machine code) and character shape-based (OCR-Key) corrections. The OCR-Key classifies characters by shape into one or more disjoint and overlapping classes. Similar shaped-based classes appearing in consecutive characters are appended to a cardinality term, a repetition count of the class. The LD measurement groups OCR-Keys and differentiates on both class and cardinality to arrive at a shape-based mismatch error between competing candidate words from an associated dictionary and a target word from the OCR scan.
    Type: Application
    Filed: April 28, 2016
    Publication date: August 18, 2016
    Inventor: Casey Stella
  • Targeted optical character recognition (OCR) for medical terminology
    Patent number: 9361531
    Abstract: Embodiments of the present invention provide concepts for correcting optical character recognition (OCR) errors from and OCR scan result by sequentially applying an anagram hash (AH) and Levenshtein-Distance (LD) measurement for concurrent character identity-based (machine code) and character shape-based (OCR-Key) corrections. The OCR-Key classifies characters by shape into one or more disjoint and overlapping classes. Similar shaped-based classes appearing in consecutive characters are appended to a cardinality term, a repetition count of the class. The LD measurement groups OCR-Keys and differentiates on both class and cardinality to arrive at a shape-based mismatch error between competing candidate words from an associated dictionary and a target word from the OCR scan.
    Type: Grant
    Filed: July 21, 2014
    Date of Patent: June 7, 2016
    Assignee: Optum, Inc.
    Inventor: Casey Stella
  • TARGETED OPTICAL CHARACTER RECOGNITION (OCR) FOR MEDICAL TERMINOLOGY
    Publication number: 20160019430
    Abstract: Embodiments of the present invention provide concepts for correcting optical character recognition (OCR) errors from and OCR scan result by sequentially applying an anagram hash (AH) and Levenshtein-Distance (LD) measurement for concurrent character identity-based (machine code) and character shape-based (OCR-Key) corrections. The OCR-Key classifies characters by shape into one or more disjoint and overlapping classes. Similar shaped-based classes appearing in consecutive characters are appended to a cardinality term, a repetition count of the class. The LD measurement groups OCR-Keys and differentiates on both class and cardinality to arrive at a shape-based mismatch error between competing candidate words from an associated dictionary and a target word from the OCR scan.
    Type: Application
    Filed: July 21, 2014
    Publication date: January 21, 2016
    Inventor: Casey Stella