This inventor holds 19 USPTO granted patents, primarily in Character Recognition. Top assignees: Hitachi, Ltd., Renesas Technology Corp.. Active years: 1976-2004.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Katsuta, JA (1976 - 1977)
- Hitachi, JP (1989 - 2004)
Company Filing History:
Years Active: 1976-2004
Areas of Expertise:
Title: **Masaki Miura: Innovator in Character Recognition Technology**
Introduction
Masaki Miura, based in Hitachi, Japan, is a notable inventor with a robust portfolio of 19 patents. His work largely focuses on advancements in character recognition technologies, making significant contributions to how machines interpret handwritten inputs.
Latest Patents
One of Miura's latest inventions is the "Apparatus for recognizing input character strings by inference." This innovative character recognizer is designed to efficiently identify and process characters that are written continuously, irregularly, or exhibit modifications. The apparatus comprises an input unit for capturing handwritten characters, a dictionary containing multiple character codes and patterns, an element decomposition module for breaking down these characters into identifiable elements, and a matching module that calculates corresponding distance values to achieve accurate recognition.
Career Highlights
Miura has held positions at prominent companies, including Hitachi, Ltd. and Renesas Technology Corporation. His experiences at these organizations have greatly influenced his research and development efforts in the field of character recognition.
Collaborations
Throughout his career, Miura has worked alongside esteemed colleagues such as Soshiro Kuzunuki and Toshimi Yokota. Their collaboration has fostered an environment of innovation and has led to the development of several groundbreaking technologies.
Conclusion
Masaki Miura's contributions to character recognition technology exemplify the spirit of innovation. With a strong foundation of patents and collaborative efforts in the industry, he continues to shape the future of how machines interpret human handwriting.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

