US Patent Issued to International Business Machines on Nov. 11 for "Training and using a vector encoder to determine vectors for sub-images of text in an image subject to optical character recognition" (Chinese Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,469,318, issued on Nov. 11, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Training and using a vector encoder to determine vectors for sub-images of text in an image subject to optical character recognition" was invented by Zhong Fang Yuan (Xi'an, China), Tong Liu (Xi'an, China), Yi Chen Zhong (Shanghai), Xiang Yu Yang (Xi'an, China) and Guan Chao Li (Shanghai).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided are a computer program product, system, and method for training and using a vector encoder to determine vectors for sub-images of text in an image to subject to optical character recognition. A vector encoder is train...