Moscow, Russia

Atroshchenko Mikhail Yurievich


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Atroshchenko Mikhail Yurievich: Innovator in Language Detection Technology

Introduction

Atroshchenko Mikhail Yurievich is a notable inventor based in Moscow, Russia. He has made significant contributions to the field of language detection technology, particularly focusing on identifying Chinese, Japanese, and Korean characters in text. His innovative approach has led to the development of a patented system that enhances the accuracy of language recognition.

Latest Patents

Mikhail Yurievich holds a patent for a system that detects Chinese, Japanese, or Korean language characters. The patent describes a method where a document image is received and binarized. The binarized document image is then searched for connected components, leading to the identification of a plurality of fragments. Each fragment is analyzed to determine a language hypothesis, which is assigned a probability rating. The fragments with the highest probability ratings are selected, and the language hypothesis is verified to confirm the presence of the specified characters.

Career Highlights

Mikhail Yurievich is currently employed at Abbyy Development Inc., a company known for its advancements in document recognition and language processing technologies. His work at Abbyy has allowed him to apply his expertise in developing innovative solutions that cater to the needs of diverse language users.

Collaborations

Mikhail has collaborated with notable colleagues such as Dmitry Deryagin and Yuri Chulinin. Their combined efforts have contributed to the success of various projects within the company, enhancing the capabilities of language detection systems.

Conclusion

Atroshchenko Mikhail Yurievich is a prominent figure in the realm of language detection technology. His innovative patent and contributions to Abbyy Development Inc. highlight his commitment to advancing the field. His work continues to impact the way languages are recognized and processed in digital formats.

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