Tokyo, Japan

Shin'ichi Satoh

This inventor holds 1 USPTO granted patent. Top assignee: Rakuten, Inc.. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shin'ichi Satoh. Retrieved from https://idiyas.com/inventor/shin-ichi-satoh

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: The Innovations of Shin'ichi Satoh

Introduction

Shin'ichi Satoh is a notable inventor based in Chiyoda-ku, Japan. He has made significant contributions to the field of character recognition technology. His work has led to advancements that enhance the way machines interpret and process written characters.

Latest Patents

Shin'ichi Satoh holds a patent for a character recognition device, character recognition method, and character recognition program. This innovative device includes an acquisition means to obtain images containing character regions. It features a first recognition means that identifies characters using a primary recognition method. Additionally, it has a setting means to establish reference lines along the alignment direction of the characters. The second recognition means recognizes characters by scanning within a recognition window while adjusting its size. The output means then generates a word composed of the recognized characters.

Career Highlights

Shin'ichi Satoh is currently employed at Rakuten, Inc., where he continues to develop and refine his inventions. His work at Rakuten has allowed him to collaborate with other talented individuals in the field.

Collaborations

Some of his notable coworkers include Ryota Hinami and Naoki Chiba. Their combined expertise contributes to the innovative environment at Rakuten.

Conclusion

Shin'ichi Satoh's contributions to character recognition technology exemplify the impact of innovation in modern computing. His patent reflects a significant advancement in how machines can understand and process written language.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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