Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4179
Title: Automatic invoice Data identification with relations
Authors: Ubewikkrama, P.T.R.
Keywords: e-invoices
Algorithms
Automatic invoice data
Identification of keyword and value
Issue Date: 22-Jul-2021
Abstract: Mobile phones became a common device to everyone. There are 6 billion smartphone users in 2019. Because of that most of the time people tend to buy items through the mobile phone. Billions of online transactions happen each and every day.All generate e-invoices. People tend to use e-invoices rather than paper-based invoices. However the processing of those e-invoices is very hard. Most of the time need to enter the e-invoice data into computers manually.Because no relationship between text elements makes automatic analysing PDF is very hard.To handle billions of invoices industry spend billions of money. By this research we introduce novel algorithm which was language independent and can be used to identify ”Key-word , Value” pair data automatically
URI: http://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4179
Appears in Collections:2019

Files in This Item:
File Description SizeFormat 
2015 CS 136.pdf681.62 kBAdobe PDFView/Open


Items in UCSC Digital Library are protected by copyright, with all rights reserved, unless otherwise indicated.