François Ragnet

Title: François Ragnet: Innovator in Document Categorization Technology

Introduction

François Ragnet is a notable inventor based in Venon, France. He has made significant contributions to the field of document processing and categorization. With a total of 2 patents, his work focuses on enhancing the efficiency of document management systems.

Latest Patents

Ragnet's latest patents include innovative systems and methods for capturing and categorizing customer documents using mobile devices. One of his patents, titled "Categorizer assisted capture of customer documents using a mobile device," describes a computer-implemented system that identifies a categorization model for image frames. This method configures an image capture device to optimize the document image capture process. It involves receiving a flow of frames from a document and generating image representations for each frame. The system assigns confidence levels to categories based on these representations, triggering automatic image capture when a certain confidence threshold is met.

Another significant patent is "Categorization of multi-page documents by anisotropic diffusion." This invention refines category scores for pages in a sequence of document pages, potentially identifying document boundaries. The method utilizes initial category scores and employs anisotropic diffusion to enhance these scores by considering the scores of neighboring pages. This iterative process improves the accuracy of document categorization.

Career Highlights

François Ragnet is currently associated with Xerox Corporation, a leading company in document technology and services. His work at Xerox has allowed him to develop and implement innovative solutions that streamline document processing.

Collaborations

Ragnet has collaborated with notable colleagues, including Damien Cramet and Jean-Michel Renders. These partnerships have contributed to the advancement of technology in document management.

Conclusion

François Ragnet's contributions to document categorization technology demonstrate his commitment to innovation in the field. His patents reflect a deep understanding of the challenges in document processing and offer effective solutions to enhance efficiency.