Menlo Park, CA, United States of America

David J Ross


Average Co-Inventor Count = 1.0

ph-index = 2

Forward Citations = 94(Granted Patents)


Company Filing History:


Years Active: 1987-1990

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2 patents (USPTO):Explore Patents

Title: Innovations of David J Ross

Introduction

David J Ross is an accomplished inventor based in Menlo Park, California. He has made significant contributions to the field of optical character recognition and pattern recognition systems. With a total of two patents to his name, Ross continues to push the boundaries of technology through his innovative ideas.

Latest Patents

One of Ross's latest patents is titled "Processing means for use in an optical character recognition system." This invention provides a means to narrow the possible characters associated with an unknown input character, primarily based on subline information. It also adds to the possibility set additional characters and determines point sizes for each character. In cases where the subline information is erroneous, the invention corrects the subline information.

Another notable patent is "Feature extraction technique for use in a pattern recognition system." This method forms feature vectors representing the pixels contained in a desired pattern and reference patterns. One part of the feature vector represents the pixels of the pattern itself, while another part defines the aspect ratio of the pattern. This invention allows for a more efficient representation of the character, covering the entire character with a feature vector that describes a 'blurred' version of the pattern.

Career Highlights

David J Ross is currently associated with The Palantir Corporation, where he applies his expertise in developing advanced technologies. His work at Palantir focuses on enhancing data analysis and recognition systems, contributing to the company's innovative solutions.

Conclusion

David J Ross is a notable inventor whose work in optical character recognition and pattern recognition has led to significant advancements in technology. His patents reflect a deep understanding of the complexities involved in character recognition systems, showcasing his innovative spirit and dedication to improving technology.

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