Moscow, Russia

Mikhail Atroshchenko


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017-2020

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2 patents (USPTO):Explore Patents

Title: Mikhail Atroshchenko: Innovator in Document Segmentation and Language Detection

Introduction

Mikhail Atroshchenko is a notable inventor based in Moscow, Russia. He has made significant contributions to the fields of document segmentation and language detection. With a total of two patents to his name, Atroshchenko's work showcases his expertise and innovative thinking.

Latest Patents

Atroshchenko's latest patents include methods and systems for the segmentation of a document. These systems are designed to receive an image depicting a document and identify partition points that divide the image into potential segments. The process involves generating a linear partition graph (LPG) and identifying a path with a quality metric above a threshold value, utilizing a neural network for pixel classification. Additionally, he has developed a method for detecting Chinese, Japanese, or Korean characters in text. This method includes determining language hypotheses for text fragments and verifying these hypotheses through optical character recognition.

Career Highlights

Throughout his career, Mikhail Atroshchenko has worked with prominent companies such as Abbyy Development Inc. and Abbyy Production LLC. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in document processing and language recognition.

Collaborations

Atroshchenko has collaborated with notable colleagues, including Dmitry Deryagin and Yuri Chulinin. These partnerships have further enhanced his work and contributed to the development of advanced technologies in his field.

Conclusion

Mikhail Atroshchenko's contributions to document segmentation and language detection highlight his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving processes in document analysis.

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