Taejon, South Korea

Hyoung Gu Lee


Average Co-Inventor Count = 6.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Seoul, KR (2005)
  • Taejon, KR (2006)

Company Filing History:


Years Active: 2005-2006

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2 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Hyoung Gu Lee

Introduction

Hyoung Gu Lee is a distinguished inventor based in Taejon, South Korea. With a remarkable portfolio of two patents, he has made significant contributions to the field of image processing, particularly in the recognition and segmentation of handwritten numeral strings. His innovative methodologies not only advance technological capabilities but also enhance user experience in digitizing handwritten inputs.

Latest Patents

Hyoung Gu Lee's latest patents include:

1. **Method of segmenting handwritten touching numeral strings having non-vertical segmentation line**

This method addresses the challenges of segmenting handwritten numeral strings that do not align vertically. The process involves receiving an image of the numeral strings, smoothing the irregularities in shape, and identifying contour lines. It then searches for candidate segmentation regions and points, utilizing both vertical and non-vertical segmentation lines to accurately segment the numeral strings.

2. **Method for segmentation-based recognizing handwritten touching numeral strings**

This innovative method focuses on the segmentation and recognition of touching numeral strings. The process starts by receiving a handwritten numeral string, smoothing the image, and searching for connecting components. If the string is identified as touching, it further explores contours and identifies candidate segmentation points. The system computes confidence values for each sub-image to ensure the most accurate segmentation of the numeral string.

Career Highlights

Hyoung Gu Lee is associated with the Electronics and Telecommunications Research Institute, where he has been pivotal in driving innovation within the field. His work emphasizes enhancing the capabilities of digitizing handwritten documents, which is essential for various applications in technology and automation.

Collaborations

Throughout his career, Hyoung Gu Lee has collaborated with notable colleagues, including Kye Kyung Kim and Yun Koo Chung. Together, they work on advancing the domains of image processing and machine learning, bringing together a wealth of knowledge and expertise.

Conclusion

Hyoung Gu Lee's contributions to the field of image processing through his patented inventions underscore the importance of innovation in transforming handwritten inputs into digitized formats. His ongoing work at the Electronics and Telecommunications Research Institute continues to inspire future advancements in this essential technology area.

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