Berkeley, CA, United States of America

Bryan Higgins


Average Co-Inventor Count = 5.0

ph-index = 5

Forward Citations = 189(Granted Patents)


Company Filing History:


Years Active: 1992-2000

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6 patents (USPTO):Explore Patents

Title: The Innovations of Bryan Higgins

Introduction

Bryan Higgins is a notable inventor based in Berkeley, CA. He has made significant contributions to the field of optical character recognition, holding a total of 6 patents. His work has advanced the technology used to recognize characters on various media, enhancing the efficiency of data processing.

Latest Patents

One of Bryan Higgins' latest patents is an optical character recognition method and apparatus. This innovative system includes a scanner that scans a medium, such as a page of printed text and graphics, producing a bit-mapped representation of the page. The bit-mapped representation is stored in a memory system, such as a computer's memory. A processor then processes the bit-mapped image to generate an output comprising coded character representations of the text on the page. The invention also discloses methods for parsing a page to produce output characters in a logical sequence, utilizing a combination of feature detection methods and template matching techniques for character recognition. Additionally, it incorporates various feature detection methods, including the use of statistical data and polygon fitting.

Career Highlights

Bryan Higgins has been associated with Caere Corporation, where he has contributed to the development of advanced technologies in optical character recognition. His work has played a crucial role in improving the accuracy and efficiency of character recognition systems.

Collaborations

Some of his notable coworkers include John Dilworth and David George, who have collaborated with him on various projects within the company.

Conclusion

Bryan Higgins is a distinguished inventor whose work in optical character recognition has significantly impacted the field. His innovative patents and contributions continue to shape the future of data processing technologies.

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