Petach-Tikva, Israel

Roee Litman


Average Co-Inventor Count = 8.2

ph-index = 1

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2022

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2 patents (USPTO):

Title: Roee Litman: Innovator in Document Rectification and Optical Character Recognition

Introduction

Roee Litman is a notable inventor based in Petach-Tikva, Israel. He has made significant contributions to the fields of document rectification and optical character recognition, holding two patents that showcase his innovative approach to technology.

Latest Patents

One of Roee Litman's latest patents is titled "Document rectification via homography recovery using machine learning." This patent describes techniques for intelligently rectifying document images by utilizing multiple pipelines based on the detected type of device that generated the images. The system is designed to provide high-quality rectifications without requiring human cooperation or multiple views of the document.

Another significant patent is "Residual context refinement network architecture for optical character recognition." This invention outlines a method for recognizing text in images by extracting features and generating a visual feature sequence. The process includes selective contextual refinement to generate accurate text predictions, utilizing a two-step attention mechanism to enhance the recognition capabilities.

Career Highlights

Roee Litman is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in his field. His work at Amazon reflects his commitment to advancing technology and improving user experiences through intelligent systems.

Collaborations

Roee has collaborated with talented individuals such as Shahar Tsiper and Shai Mazor, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Roee Litman's contributions to document rectification and optical character recognition highlight his role as a leading inventor in the technology sector. His patents demonstrate a commitment to enhancing the efficiency and accuracy of image processing systems.

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