Longueuil, Canada

Alain Bélanger


Average Co-Inventor Count = 4.1

ph-index = 2

Forward Citations = 68(Granted Patents)


Company Filing History:


Years Active: 2008-2015

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3 patents (USPTO):Explore Patents

Title: The Innovations of Alain Bélanger

Introduction

Alain Bélanger is a notable inventor based in Longueuil, Canada. He has made significant contributions to the field of optical character recognition (OCR) with a total of 3 patents to his name. His work focuses on enhancing the efficiency and accuracy of text recognition in images.

Latest Patents

One of Bélanger's latest patents is titled "Optical character recognition of text in an image according to a prioritized processing sequence." This innovative method involves identifying text zones within an image and assigning ranks based on their arrangement. The processing sequence for OCR is determined by the arrangement of these zones and their respective ranks. This method allows for a progressive machine-encoded representation of the region of interest to be presented to users in real-time.

Another significant patent is "Method and system using two parallel optical character recognition processes." This method provides a text-based representation of a working area by acquiring an image and performing a fast OCR process on a region of interest. This initial representation is presented to the user while a high-precision OCR process runs in parallel, ultimately replacing the initial representation with a more accurate one.

Career Highlights

Bélanger has worked with prominent companies such as Humanware Technologies Inc. and Humanware Canada Inc. His experience in these organizations has allowed him to refine his skills and contribute to advancements in OCR technology.

Collaborations

Throughout his career, Bélanger has collaborated with talented individuals, including Pierre Hamel and Éric Beauchamp. These partnerships have fostered innovation and the development of cutting-edge technologies in the field.

Conclusion

Alain Bélanger's contributions to optical character recognition technology demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the challenges in text recognition and offer practical solutions that enhance user experience.

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