Loading...
Publication
Artificial Intelligence in Invoice Recognition: a Systematic Literature Review
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.48 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
In the era marked by a flourishing economy and rapid advancements in information
technology, the proliferation of invoice data has accentuated the urgent need for
automated invoice recognition. Traditional manual methods, long relied upon for this
task, have proven to be inefficient, error-prone, and incapable of coping with the rising
volume of invoices. This research endeavours to addresses the imperative of automating
invoice recognition by exploring, assessing, and advancing cutting-edge algorithms,
techniques, and methods within the domain of Artificial Intelligence (AI).
This research conducts a comprehensive Systematic Literature Review (SLR) to
investigate Computer Vision (CV) approaches, encompassing image preprocessing,
Layout Analysis (LA), Optical Character Recognition (OCR), and Information Extraction
(IE). The objective is to provide valuable insights into these fundamental components of
invoice recognition, emphasizing their significance in achieving accuracy and efficiency.
This exploration aims to contribute to the development of more effective automated
systems for extracting information from invoices, addressing the challenges posed by
diverse formats and content.
The results indicate that in LA, the combination of Mask Region-based Convolutional
Neural Networks (M-RCNN) and Feature Pyramid Network (FPN) achieves goods
results. In OCR, algorithms like Convolutional Recurrent Neural Network (CRNN), You
Only Look Once version 4 (YOLOv4) and models inspired by M-RCNN and Faster
Region-based Convolutional Neural Network (F-RCNN) with ResNetXt-101 as the
backbone demonstrate remarkable performance. When it comes to IE, algorithms inspired
by F-RCNN and Region Proposal Network (RPN), Grid Convolutional Neural Network
(G-CNN) and Layer Graph Convolutional Networks (LGCN), and Gated Graph
Convolutional Network (GatedGCN) consistently deliver the best results.
Description
Keywords
Invoice Invoice Recognition Artificial Intelligence Algorithms Computer Vision Data Extraction