This inventor holds 4 USPTO granted patents and 2 published patent applications. Top assignees: Way2vat Ltd., Other. Active years: 2021-2023.
Company Filing History:
Years Active: 2021-2023
Title: Rinon Gal: Innovator in Document Image Analysis
Introduction
Rinon Gal is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of document image analysis, holding a total of 4 patents. His innovative work focuses on advanced systems and methods that enhance the processing and retrieval of information from imaged documents.
Latest Patents
Rinon Gal's latest patents include groundbreaking technologies such as "Systems and methods for document image analysis with cardinal graph convolutional networks." This patent describes a method for processing documents by generating cardinal graph representations that represent words as single nodes. The edges connect neighboring nodes in four cardinal directions, allowing for the creation of feature tensors that enhance the analysis of document images. Another notable patent is "Systems and methods for neuronal visual-linguistic data retrieval from an imaged document." This invention utilizes deep network architectures to automatically retrieve information from imaged documents through a neuronal visual-linguistic mechanism, which includes a geometrically trained neuronal network.
Career Highlights
Throughout his career, Rinon Gal has worked with various companies, including Way2vat Ltd. His expertise in document image analysis has positioned him as a key player in the field, contributing to advancements that streamline information retrieval processes.
Collaborations
Rinon has collaborated with notable individuals such as Amos Simantov and Roy Shilkrot. These partnerships have fostered innovation and have been instrumental in the development of his patented technologies.
Conclusion
Rinon Gal's contributions to document image analysis through his patents and collaborations highlight his role as an influential inventor in the field. His work continues to pave the way for advancements in information retrieval from imaged documents.