Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features

Signal Processing: Image Communication manuscript No. (will be inserted by the editor) Abstract While storing invoice content as metadata comparison of 9 AC per manually processed invoice and to avoid paper document processing may be the future 2 AC per automated processing of one invoice based on trend, almost all of daily issued invoices are still surveys in 2004 and 2003 respectively. A 2016 report by printed on paper or generated in digital formats such the Institute of Finance and Management [2] suggested as PDFs. In this paper, we introduce the OCRMiner that the average cost to process an invoice was $12.90. The system on Scanned Receipt OCR and Information Extraction is designed to process the document in a similar way a (SROIE) at ICDAR 2019 [3] or the Mobile-Captured human reader uses, i.e. to employ different layout and Image Document Recognition for Vietnamese Receipts text attributes in a coordinated decision. Still, annotated benchmark invoice consists of a set of interconnected modules that start datasets are not generally available due to confidential with (possibly erroneous) character-based output from information, and the published papers do not offer a standard OCR system and allow to apply different detailed dataset descriptions and error analyses of the techniques and to expand the extracted knowledge at content. Moreover, although receipts and invoices have each step. Using an open source OCR, the system is some common attributes, their analyses differ vastly able to recover the invoice data in 90% for English and due to complex graphical layouts and richer content in 88% for the Czech set. In 2006, Lewis et al. [6] published the IIT 1 Introduction Complex Document Information Processing Test Collection (IIT-CDIP) based on the Legacy Tobacco Documents Automatic invoice processing systems gain significant Library, containing roughly 40 millions scanned interest of large companies who deal with enormous pages for evaluation of document information processing numbers of invoices each day, due to not only their tasks.