Kitchener, Canada

Eric J Vance


Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 51(Granted Patents)


Company Filing History:


Years Active: 1984

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3 patents (USPTO):Explore Patents

Title: Innovations of Eric J Vance

Introduction

Eric J Vance is a notable inventor based in Kitchener, Canada. He has made significant contributions to the field of character recognition technology. With a total of 3 patents, Vance has developed innovative systems that enhance the accuracy and efficiency of recognizing unknown characters.

Latest Patents

One of his latest patents is the "Matrix Character Recognition." This system involves comparing each row of binary signals representing an unknown character to a set of templates for known characters. The process includes shifting the rows of signals to detect characters that may be printed off-center. The data generated is utilized by a data processor to identify the unknown character accurately.

Another significant patent is the "Matrix Character Reading System." This invention focuses on selecting the start of an unknown character sensed by a character recognition system. A multi-channel read head captures analog waveforms that form the image of the character. After digitization and rectification, threshold values are applied to create a binary bit map. The system detects the start and end of the character based on the arrangement of binary bits, facilitating effective character recognition.

Career Highlights

Eric J Vance is currently employed at NCR Corporation, where he continues to innovate in the field of character recognition. His work has contributed to advancements in technology that are widely used in various applications.

Collaborations

Throughout his career, Vance has collaborated with notable colleagues, including Robert B Nally and James F Akister. These collaborations have further enriched his work and contributed to the development of his patents.

Conclusion

Eric J Vance's contributions to character recognition technology demonstrate his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving the accuracy and efficiency of character recognition systems.

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