Company Filing History:
Years Active: 1996
Title: Arye Green - Innovator in Optical Character Recognition
Introduction
Arye Green is a notable inventor based in San Jose, California. He has made significant contributions to the field of optical character recognition (OCR) through his innovative methods and systems. His work focuses on improving the efficiency and effectiveness of OCR technology.
Latest Patents
Arye Green holds a patent for an "Optical Character Recognition Illumination Method and System." This invention presents an improved illumination method and apparatus specifically designed for optical character recognition. The system features a first light source positioned to ensure that light emitted strikes the surface at an angle of incidence. A detector is strategically placed at the angle of reflection, allowing specularly reflected light to strike the detector, thereby providing bright field illumination. The patent also discloses additional light sources positioned at various angles to facilitate high and low angle dark field illumination. Furthermore, the system incorporates novel light guides that enable a compact and economical design. It utilizes light sources and filters that significantly reduce the impact of environmental lighting on the OCR process. A unique method for selecting the optimal light source and intensity is also included in the patent.
Career Highlights
Arye Green has had a successful career, working at Electroglas, Inc., where he has been able to apply his innovative ideas in practical settings. His work has contributed to advancements in technology that enhance the capabilities of optical character recognition systems.
Collaborations
Throughout his career, Arye has collaborated with notable colleagues, including John A. Penkethman and Robert A. Harrison. These collaborations have likely fostered an environment of innovation and creativity, leading to the development of impactful technologies.
Conclusion
Arye Green's contributions to optical character recognition technology demonstrate his commitment to innovation and improvement in this field. His patented methods and systems have the potential to significantly enhance the efficiency of OCR processes.