Shenyang, China

Jing-bo Zhu

This inventor holds 1 USPTO granted patent. Top assignee: Matsushita Electric Industrial Co., Ltd.. Active years: 2006.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jing-bo Zhu. Retrieved from https://idiyas.com/inventor/jing-bo-zhu

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


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 64(Granted Patents)


Company Filing History:


Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Jing-bo Zhu

Introduction

Jing-bo Zhu is a notable inventor based in Sheyang, China. He has made significant contributions to the field of optical character recognition (OCR) technology. His innovative approach to post-processing character data has garnered attention in the industry.

Latest Patents

Jing-bo Zhu holds a patent for a "Post-processing system and method for correcting machine recognized text." This patent describes a method of post-processing character data from an OCR engine. The method includes segmenting the character data into a set of initial words and processing these words to determine candidate words. The initial words are then organized into sentences, which are further processed to select final words. This innovative approach enhances the accuracy of OCR data.

Career Highlights

Jing-bo Zhu is associated with Matsushita Electric Industrial Co., Ltd., where he has contributed to various projects related to OCR technology. His work has been instrumental in improving the efficiency and accuracy of text recognition systems.

Collaborations

Jing-bo has collaborated with notable colleagues, including Mu Li and Yu-kun Tong. Their combined expertise has led to advancements in the field of OCR and related technologies.

Conclusion

Jing-bo Zhu's contributions to OCR technology through his innovative patent demonstrate his commitment to enhancing machine recognition systems. His work continues to influence the industry positively.

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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