Document processing using hybrid rule-based artificial intelligence (AI) mechanisms

US11501549B2 · kind B2 · utility

Assignee

• ACCENTURE GLOBAL SOLUTIONS LIMITED · IE

Inventors

• Sawani BADE · Bengaluru, IN
• Srinivasan Ponpathirkoottam Raghavan · Chennai, IN
• Samatha Kottha · Bengaluru, IN
• Shruti Chhabra · Ghaziabad, IN
• Praneeth Medhatithi Shishtla · Hyderabad, IN
• Debayan Chakraborty · Kanchinakote, IN
• Sreerekha T. V. · Kanchinakote, IN
• Himani Bhatt · Kanchinakote, IN
• Amit Nandi · Kanchinakote, IN
• Akanksha Juneja · Dwarka, IN
• Soubhagya Ranjan Mohapatra · Kanchinakote, IN
• Ashok Kumar Shivarajan · Krishnagiri, IN
• Kedar Bhat · Mumbai, IN
• Karthick Selvamuthukumaran · Chennai, IN

Key dates

• Filing date: Jun 30, 2020
• Grant date: Nov 15, 2022
• Expiry date: Mar 7, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F18/259
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.