This inventor holds 5 USPTO granted patents. Top assignee: Caere Corporation. Active years: 1992-1995.
Company Filing History:
Years Active: 1992-1995
Title: The Innovations of Philip Bernzott
Introduction
Philip Bernzott is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of optical character recognition, holding a total of 5 patents. His work has paved the way for advancements in how machines interpret and process printed text.
Latest Patents
One of Bernzott's latest patents is an optical character recognition method and apparatus. This innovative system is designed for the recognition of characters on a medium, such as a page of printed text and graphics. The system includes a scanner that scans the medium and produces a bit-mapped representation of the page. This representation is then stored in a memory means, such as a computer's memory. A processor 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 methods for character recognition. Additionally, it incorporates various feature detection methods, including the use of statistical data and polygon fitting.
Career Highlights
Philip Bernzott has been a key figure at Caere Corporation, where he has contributed to the development of cutting-edge technologies in optical character recognition. His expertise and innovative mindset have led to the creation of systems that enhance the efficiency of text recognition processes.
Collaborations
Throughout his career, Bernzott has collaborated with notable colleagues, including John Dilworth and David George. These partnerships have fostered an environment of creativity and innovation, further advancing the field of optical character recognition.
Conclusion
Philip Bernzott's contributions to optical character recognition have significantly impacted the way machines interpret text. His innovative patents and collaborative efforts continue to shape the future of this technology.