Company Filing History:
Years Active: 1988-1997
Title: Innovations of Toshimi Mifune
Introduction
Toshimi Mifune is a notable inventor based in Hitachi, Japan. He has made significant contributions to the field of character recognition technology. With a total of 5 patents to his name, Mifune's work has advanced the way handwritten characters are recognized and processed.
Latest Patents
One of Mifune's latest patents is a hand-written character recognition apparatus with a personal dictionary. This innovative device includes a character recognition unit that compares input handwritten character data with a registered standard dictionary to identify the most similar character pattern. Additionally, it features a display unit that selects and displays a font corresponding to the recognized character pattern. This allows for the recognition of personal peculiar characters or simplified characters that are inputted. The apparatus also facilitates the registration of personal dictionaries, enabling users to input characters by hand-writing. The character recognition unit then compares the input data with the standard dictionary to recognize a similar character pattern. Furthermore, the device provides a personal pattern input frame that allows for simultaneous input of multiple personal handwritten character patterns, which can be registered under a single character code.
Career Highlights
Mifune is currently employed at Hitachi, Ltd., where he continues to innovate in the field of character recognition technology. His work has been instrumental in enhancing the functionality and accuracy of handwritten character recognition systems.
Collaborations
Mifune has collaborated with notable colleagues, including Hiroshi Shojima and Junko Mori, who contribute to the development of advanced technologies in their respective fields.
Conclusion
Toshimi Mifune's contributions to the field of character recognition technology exemplify the impact of innovative thinking in enhancing user interaction with digital systems. His patents reflect a commitment to improving the accuracy and usability of handwritten character recognition.