Seoul, South Korea

Hyun Jin Yun

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Eeum, Inc. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hyun Jin Yun. Retrieved from https://idiyas.com/inventor/hyun-jin-yun

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Hyun Jin Yun: Innovator in Font Detection Technology

Introduction

Hyun Jin Yun is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in font detection technology. His innovative approach utilizes neural networks to enhance the accuracy and efficiency of font recognition.

Latest Patents

Hyun Jin Yun holds a patent for a "Font detection method and system using artificial intelligence-trained neural network." This patent describes a method that involves receiving a target text image, resizing it according to its aspect ratio, and inputting the resized image into a trained neural network. The neural network then outputs the font of the text included in the image. This technology allows for effective detection of various fonts based on different usage examples.

Career Highlights

Hyun Jin Yun is currently associated with Eeum, Inc., where he continues to develop and refine his innovative technologies. His work has positioned him as a key player in the realm of AI-driven solutions for font detection.

Collaborations

Hyun Jin Yun collaborates with Dong Hyuk Park, contributing to advancements in their shared field of expertise.

Conclusion

Hyun Jin Yun's contributions to font detection technology through artificial intelligence demonstrate his commitment to innovation. His work not only enhances the capabilities of font recognition but also sets a foundation for future advancements in the field.

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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