Sound Beach, NY, United States of America

Matthew Lawrence Homer

This inventor holds 1 USPTO granted patent. Top assignee: Zebra Technologies Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Lawrence Homer. Retrieved from https://idiyas.com/inventor/matthew-lawrence-homer

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Matthew Lawrence Homer and Optical Character Recognition Innovation.

Introduction

Matthew Lawrence Homer is an inventor based in Sound Beach, New York. His patent work addresses ways to improve trainable optical character recognition (OCR), particularly when software encounters characters it does not initially recognize.

Latest Patents

Homer is associated with 1 patent: “Systems and Methods for Enhancing Trainable Optical Character Recognition (OCR) Performance.” The disclosed method processes an image captured by a machine vision camera that contains both an encoded indicia and a character string. After identifying the indicia and string, the system decodes the indicia to obtain its payload and applies OCR to interpret the text. It then compares the payload with the character string to validate an unrecognized character. If the character is confirmed, the system adds it to a font library referenced by the OCR algorithm, potentially improving recognition in future use.

Career Highlights

Homer is associated with Zebra Technologies Corporation, a company whose work includes technologies for data capture and machine vision. His patent describes a method for using information encoded in an image to help verify and teach an OCR system unfamiliar characters.

Collaborations

The provided information lists Robert W. DiGiovanna and Frederick D. Liguori III as Homer’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Matthew Lawrence Homer’s patent focuses on improving trainable OCR by using encoded payload data to validate unfamiliar characters and add them to a font library.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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