Redmond, WA, United States of America

Shloak Jain

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Shloak Jain: Innovator in Optical Character Recognition Technology

Introduction

Shloak Jain is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of optical character recognition (OCR) technology. His innovative work has led to the development of a patent that enhances the efficiency of text extraction from raw OCR outputs.

Latest Patents

Shloak Jain holds a patent titled "Structural clustering and alignment of OCR results." This patent describes mechanisms to create a text stream from raw OCR outputs. The raw OCR output consists of multiple bounding boxes, each defining a region containing text recognized by the OCR system. A weight matrix is calculated, which includes a weight for each pair of bounding boxes, representing the probability that they belong to the same cluster. The bounding boxes are then clustered based on these weights. The resulting clusters are ordered using specific criteria, and the bounding boxes within each cluster are arranged into a coherent text stream.

Career Highlights

Shloak Jain is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to focus on advancing OCR technology, contributing to the company's innovative solutions in the tech industry. His expertise in this area has positioned him as a valuable asset to his team.

Collaborations

Shloak Jain has collaborated with talented individuals such as Yan Wang and Arun Sacheti. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Shloak Jain's contributions to OCR technology through his patent demonstrate his commitment to innovation. His work not only enhances the efficiency of text extraction but also showcases the potential for further advancements in this field.

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