Tokyo, Japan

Mikihito Kanno


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):

Title: Mikihito Kanno: Innovator in Feature Identification Technology

Introduction

Mikihito Kanno is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of feature identification technology, holding a total of 2 patents. His work focuses on developing advanced methods and devices that enhance the recognition and extraction of features from image data.

Latest Patents

Kanno's latest patents include a feature identification device and method, along with a computer-readable medium. The feature identification device employs a similarity calculation unit that treats various classifications as target classifications. It calculates the similarity between a reference feature value, extracted from image data, and a recognition feature value from the data to be recognized. Additionally, an influence calculation unit assesses the impact of each partial image on the similarity, while a feature identification unit adjusts the recognition feature value based on this influence. Another notable patent is the entry field extraction device, which utilizes a learning unit to develop a model from images of various documents. This device extracts feature fields and entry fields from document samples, streamlining the process of document analysis.

Career Highlights

Mikihito Kanno is currently employed at Mitsubishi Electric Corporation, where he continues to innovate in the field of image processing and feature identification. His work has been instrumental in advancing technologies that are crucial for various applications in document management and recognition systems.

Collaborations

Kanno collaborates with talented coworkers, including Eri Kataoka and Mitsuhiro Matsumoto. Their combined expertise contributes to the development of cutting-edge technologies in their field.

Conclusion

Mikihito Kanno's contributions to feature identification technology exemplify his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving image recognition processes, making significant strides in technology.

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