Hans Jurgen Mattausch

This inventor holds 8 USPTO granted patents. Top assignees: Hiroshima University, Semiconductor Technology Academic Research Center. Active years: 2004-2011.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hans Jurgen Mattausch. Retrieved from https://idiyas.com/inventor/hans-jurgen-mattausch

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

Calculating rank

USPTO Granted Patents = 8

% Patents Active = 62.5

Average Co-Inventor Count = 3.2

ph-index = 6

Forward Citations = 45(Granted Patents)

Company Filing History:

Semiconductor Technology Academic Research Center

patents

Years Active: 2004-2011

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8 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 7881525 - Reference data optimization learning method and pattern recognition system (2011-02-01),

2. 7599557 - Image segmentation apparatus, image segmentation method, and image segmentation integrated circuit for processing an image (2009-10-06),

3. 7561743 - Reference data recognition and learning method and pattern recognition system (2009-07-14),

4. 7526127 - Image segmentation apparatus, image segmentation method, and image segmentation integrated circuit with low power consumption for large-scale images (2009-04-28),

5. 7117291 - Memory with synchronous bank architecture (2006-10-03),

6. 7113416 - Associative memory apparatus for searching data in which manhattan distance is minimum (2006-09-26),

7. 6845429 - Multi-port cache memory (2005-01-18),

8. 6693815 - Semiconductor associative memory (2004-02-17),

Title: The Innovations of Hans Jurgen Mattausch

Introduction

Hans Jurgen Mattausch is a notable inventor based in Higashihiroshima, Japan. He has made significant contributions to the field of pattern recognition and image processing, holding a total of eight patents. His work focuses on optimizing reference data and enhancing recognition systems, which are crucial in various technological applications.

Latest Patents

Among his latest patents is a reference data optimization learning method and pattern recognition system. This invention is designed to efficiently learn new reference data by calculating distances that correspond to similarities between input data and a set of reference data. By determining a recognized winner from the input data, a gravity center is calculated to optimize the reference data. Additionally, the system adjusts a threshold value to modify recognition areas, thereby preventing erroneous recognition and improving the overall recognition rate.

Another significant patent is related to an image segmentation apparatus, method, and integrated circuit for processing images. This invention introduces a boundary active only scheme, where only cells at the boundary of a region growth are activated, while others remain in standby mode. This approach minimizes the number of simultaneously operating cells and coupling weight registers, leading to reduced power consumption through automatic control.

Career Highlights

Hans Jurgen Mattausch has worked with esteemed institutions such as Hiroshima University and the Semiconductor Technology Academic Research Center. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Some of his notable coworkers include Tetsushi Koide and Takashi Morimoto. Their collaboration has likely fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Hans Jurgen Mattausch's contributions to pattern recognition and image processing demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving efficiency and accuracy in data recognition systems.

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]