Company Filing History:
Years Active: 2022-2025
Title: Shahar Tsiper: Innovator in Document Layout and Rectification Technologies
Introduction
Shahar Tsiper is a notable inventor based in Haifa, Israel, recognized for his contributions to document layout detection and image rectification technologies. With a total of four patents to his name, Tsiper has made significant strides in enhancing the way documents are processed and understood by machines.
Latest Patents
One of Tsiper's latest patents is titled "Graph-based document layout detection." This innovative system determines the layout of a document by applying an OCR technique to identify the text within it. The system generates a graph representation of the document, consisting of nodes and edges that connect various portions of the text. It utilizes a graph cluster network machine learning model to identify the layout of different sections based on merge inferences for the edges. This technology ultimately provides a clear layout of the document's sections.
Another significant patent is "Document rectification via homography recovery using machine learning." This technique describes an image rectification system that intelligently employs multiple pipelines to rectify document images, depending on the type of device that generated them. The system is designed to deliver high-quality rectifications without requiring human intervention or multiple views of the document, making it a versatile solution for various imaging contexts.
Career Highlights
Shahar Tsiper is currently employed at Amazon Technologies, Inc., where he continues to develop and refine his innovative technologies. His work at Amazon has allowed him to leverage the company's resources and expertise to further advance his research and inventions.
Collaborations
Tsiper collaborates with talented individuals such as Shai Mazor and Amit Adam, contributing to a dynamic environment that fosters innovation and creativity in technology development.
Conclusion
Shahar Tsiper's work in document layout detection and image rectification showcases his commitment to advancing technology in meaningful ways. His patents reflect a deep understanding of machine learning and document processing, positioning him as a key figure in the field of innovation.