US Patent Issued to Open Text on March 25 for "Systems and methods for image based content capture and extraction utilizing deep learning neural network and bounding box detection training techniques" (California Inventors)

ALEXANDRIA, Va., March 26 -- United States Patent no. 12,260,632, issued on March 25, was assigned to Open Text Corp. (Waterloo, Canada).

"Systems and methods for image based content capture and extraction utilizing deep learning neural network and bounding box detection training techniques" was invented by Arnaud Gilles Flament (Sunnyvale, Calif.), Christopher Dale Lund (San Diego), Guillaume Bernard Serge Koch (San Jose, Calif.) and Denis Eric Goupil (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems, methods, and computer program products for image recognition in which instructions are executable by a processor to dynamically generate simulated documents and corresponding images, wh...