Medford, MA, United States of America

Fabrizio Machado

This inventor holds 1 USPTO granted patent. Top assignee: Fmr Corp.. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fabrizio Machado. Retrieved from https://idiyas.com/inventor/fabrizio-machado

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations of Fabrizio Machado in Handwritten Character Recognition

Introduction

Fabrizio Machado is an accomplished inventor based in Medford, MA (US). He has made significant contributions to the field of machine learning, particularly in the recognition of handwritten characters in digital images. His innovative approach combines technology with user-specific data to enhance the accuracy of character recognition.

Latest Patents

Fabrizio holds a patent for the "Recognition of handwritten characters in digital images using context-based machine learning." This patent describes methods and apparatuses for recognizing handwritten characters in digital images. The process involves a server capturing an image of a document containing handwritten data fields associated with a user identifier. The server identifies the field type for each handwritten data field and creates a pixel intensity array for each character. It then determines if a user-specific character map exists for the user identifier. If a map exists, the server retrieves it and generates digital form data using a user-specific handwriting classifier. If no map exists, the server builds one based on the pixel intensity arrays and generates digital form data using a baseline handwriting classifier.

Career Highlights

Fabrizio is currently employed at FMR Corp., where he continues to develop innovative solutions in the realm of machine learning and data recognition. His work has positioned him as a key player in advancing technology that bridges the gap between handwritten data and digital formats.

Collaborations

Fabrizio collaborates with talented individuals such as Sunil Madhani and Christopher A McDermott. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in their field.

Conclusion

Fabrizio Machado's contributions to the recognition of handwritten characters through machine learning exemplify the intersection of technology and user experience. His patent and ongoing work at FMR Corp. highlight his commitment to innovation in this vital area.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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