Nantes, France

Udit Roy

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2020-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Udit Roy in Handwriting Recognition

Introduction

Udit Roy is an accomplished inventor based in Nantes, France. He has made significant contributions to the field of handwriting recognition, particularly in the classification of handwritten math and text symbols. With two patents to his name, Udit is recognized for his innovative approaches to processing handwritten content.

Latest Patents

Udit Roy's latest patents include a method for classifying handwritten math and text symbols using spatial syntactic rules, semantic connections, and ink-related information of strokes forming the symbols. This invention involves a computing device that processes math and text in handwriting by identifying symbols through handwriting recognition. The method classifies symbols into text or math candidates based on confidence scores and updates classifications by establishing semantic connections.

Another notable patent is a system for recognizing objects from ink elements. This system utilizes a computing device equipped with a processor and memory to recognize content. It determines the perimeter of an ink element, identifies pen units, and recognizes objects represented by the ink element through strokes.

Career Highlights

Udit Roy is currently employed at MyScript, a company known for its advancements in handwriting recognition technology. His work focuses on developing innovative solutions that enhance the accuracy and efficiency of recognizing handwritten content.

Collaborations

Udit collaborates with talented individuals such as Pierre-Michel Lallican and Robin Melinand, contributing to the development of cutting-edge technologies in the field.

Conclusion

Udit Roy's contributions to handwriting recognition through his patents demonstrate his commitment to innovation and excellence in technology. His work continues to influence the way handwritten content is processed and understood.

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