Company Filing History:
Years Active: 1992-1994
Title: Innovations of Dennis W Golem
Introduction
Dennis W Golem is a notable inventor based in Waterloo, Canada. He has made significant contributions to the field of optical character recognition, holding three patents that showcase his innovative spirit and technical expertise. His work primarily focuses on systems and methods for recognizing bar-coded characters and custom fonts.
Latest Patents
One of Golem's latest patents is a system and method for optical recognition of bar-coded characters. This invention involves an imaging device that forms a digitized matrix of characters, which are then processed by a dedicated program to facilitate recognition. The system utilizes templates stored in memory to perform template matching, enabling accurate identification of characters on documents such as bank drafts and checks.
Another significant patent is an optical character recognition system capable of recognizing user-specified custom fonts. This system can identify out-of-specification characters in addition to standard fonts. It comprises an optical scanner, a microprocessor, and a memory system that allows for the development of custom templates based on user input. This innovation enhances the flexibility and usability of optical character recognition technology.
Career Highlights
Dennis W Golem is currently employed at NCR Corporation, where he continues to develop cutting-edge technologies in the field of optical recognition. His work has had a profound impact on the efficiency and accuracy of document processing systems.
Collaborations
Throughout his career, Golem has collaborated with talented individuals such as Raymond L Higgins and Meera D Kulkarni. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Dennis W Golem's contributions to optical character recognition technology demonstrate his innovative mindset and dedication to improving document processing systems. His patents reflect a commitment to enhancing the accuracy and efficiency of character recognition, making a lasting impact in the field.