Assam, India

Ranjan Sarmah

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Accenture Global Solutions Limited. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ranjan Sarmah: Innovator in Document Image Processing

Introduction

Ranjan Sarmah is a notable inventor based in Assam, India. He has made significant contributions to the field of document image processing. His innovative work focuses on enhancing the extraction of entities from document images, which has practical applications in various industries.

Latest Patents

Ranjan Sarmah holds a patent for a system titled "Entity extraction via document image processing." This document processing system is designed to analyze a document image and identify various regions, including floating images, structured data units, and unstructured floating text. The process involves generating a first masked image by removing floating images and a second masked image by eliminating structured data units from the first. The system then identifies structured data units and unstructured floating text sequentially. Textual data is extracted using optical character recognition (OCR), and entities are extracted from this data through natural language processing (NLP) techniques.

Career Highlights

Ranjan Sarmah is currently employed at Accenture Global Solutions Limited, where he applies his expertise in document processing technologies. His work contributes to the development of advanced systems that improve data extraction and processing efficiency.

Collaborations

Ranjan collaborates with talented coworkers, including Swati Tata and Anjani Kumari, who contribute to the innovative projects at Accenture.

Conclusion

Ranjan Sarmah's contributions to document image processing exemplify the impact of innovation in technology. His patent and work at Accenture highlight the importance of advancements in data extraction methods.

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