NLP Logix Awarded Fourth Patent for Industry Leading Application of Artificial Intelligence to Extract Data from Document Images

To solve this challenge, the award-winning data science team at NLP Logix repurposed a neural network algorithm it used to accurately identify breast cancer tumors in pathology slides. The team then trained the algorithm to identify and extract characters and other features from document images, such as a logo. The end-to-end process to accomplish this complex task generally follows this workflow: collect large amounts of samples of the types of documents you are processing; artificially “clean” the documents by removing blemishes; run them through a neural network to train it to classify the type of document; identify the information you want; finally, extract the information you want and place it in a readable file format.

“We have invested years in perfecting the techniques,” said Robert Marsh, Chief Technology Officer, NLP Logix. “To have this fourth and latest patent awarded is a great achievement and testament to the team here at NLP Logix.”

Wilson Dutra, a Jacksonville-based intellectual property and patent law firm, successfully assisted and guided NLP Logix through the process of filing all four awarded patents.

“We really appreciate the work Wilson Dutra did for us in securing these patents,” said Ted Willich, Chief Executive Officer, NLP Logix. “It is great to have a high quality IP firm right down the street from our offices in Jacksonville, Florida.”