Company Filing History:
2 out of 266 
1 out of 39,238 
Years Active: 2010-2013
Title: Koichi Kanamoto: Innovator in Character Recognition Technology
Introduction
Koichi Kanamoto is a notable inventor based in Inagi, Japan. He has made significant contributions to the field of character recognition technology, holding two patents that address critical challenges in this area. His work focuses on improving the accuracy and efficiency of character recognition systems.
Latest Patents
Kanamoto's latest patents include a character recognition apparatus and method aimed at eliminating dotted lines in character boxes within image data. The objective of this invention is to enhance the character recognition rate by addressing issues where dotted line candidates cannot be extracted due to overlapping parts or blurriness. The method involves estimating the position of dotted line candidates by analyzing features such as interval, length, and width, and comparing image data to determine if they are identical. Another significant patent is related to a medium processing apparatus, method, and system, which allows for accurate recognition of information content indicated in a medium. This invention includes an extraction unit for identifying multiple information items from image data, a recognition unit for content recognition, and a confirmation unit that evaluates the correctness of the recognized content based on predetermined relationships.
Career Highlights
Throughout his career, Kanamoto has worked with prominent companies such as Fujitsu Frontech Limited and Fujitsu Corporation. His experience in these organizations has contributed to his expertise in developing innovative solutions in character recognition technology.
Collaborations
Kanamoto has collaborated with notable colleagues, including Shinichi Eguchi and Shohei Hasegawa. Their teamwork has likely played a role in advancing the projects they have worked on together.
Conclusion
Koichi Kanamoto's contributions to character recognition technology demonstrate his commitment to innovation and problem-solving in this field. His patents reflect a deep understanding of the challenges faced in character recognition and offer practical solutions to enhance accuracy and efficiency.