Company Filing History:
Years Active: 1988-1990
Title: Shigenobu Kasuya: A Visionary Inventor from Tokyo
Introduction:
Shigenobu Kasuya is an influential Japanese inventor based in Tokyo, known for his significant contributions to the field of optical character recognition. With a total of four patents to his name, he continues to innovate and shape the way we process written information.
Latest Patents:
One of Kasuya's most notable inventions is a Discriminator between handwritten and machine-printed characters. This patent describes a method where a video image of a document containing characters is converted into electric signals. By detecting horizontal, vertical, and slanted stroke components within subregions of the image, the system calculates the ratio of the slanted strokes to the total strokes. If this ratio exceeds a predetermined threshold of 0.2, the characters are identified as handwritten; otherwise, they are deemed machine-printed.
Another key innovation is the Binary signal producing apparatus for optical character recognition. This device enhances the accuracy of character recognition by effectively distinguishing between black and white image signals. It employs logic circuits to compensate for variations in the surface of the paper, ensuring stable readings by comparing center readings against surrounding areas.
Career Highlights:
Currently, Shigenobu Kasuya is employed at NEC Corporation, where he continues to develop groundbreaking technologies in the realm of optical character recognition and beyond. His inventions not only represent his technical prowess but also contribute to the evolution of automated text processing.
Collaborations:
Kasuya collaborates with esteemed colleagues such as Tetsuo Umeda and Yoshihiro Matsuda. Together, they share knowledge and expertise, pushing the boundaries of innovation in their respective fields.
Conclusion:
Through his remarkable contributions and ongoing work at NEC Corporation, Shigenobu Kasuya exemplifies the spirit of innovation. His patents significantly enhance the technology of character recognition, paving the way for more efficient information processing in various applications.