Cloud OCR implementation in Iraqi government SaaS: A step towards digital transformation

The present paper examines the deployment of Cloud Optical Character Recognition (OCR) technology within the Software as a Service (SaaS) platforms of the Iraqi government, which can be considered a strategic step in digitalization in notary uses. The benefits, challenges, and possible outcomes of Cloud OCR incorporation into different government services are discussed in order to outline the opportunities it creates in terms of accelerating citizens’ efficient and transparent access to available services. Cloud OCR allows the Iraqi government to facilitate document processing, enhance the accuracy of provided data, and accelerate decision-making, especially for notarized processing. The paper depicted the MATLAB simulations for processing times of OCR and paper-based text extraction methods across multiple iterations along with accuracy rates for both cases for 25 documents that validate the main objective of this study. The significance of microstrip devices, IoT, AI, and cybersecurity in Cloud OCR are as well determined in this study.

Authors

Institutions

Publication Details

Journal
Sustainable Engineering and Innovation ISSN 2712-0562
Published
2024-08-21
DOI
https://doi.org/10.37868/sei.v6i2.id328
Citations
3
Primary Topic
Currency Recognition and Detection
Type
article
Field-Weighted Citation Impact
0.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cloud OCR implementation in Iraqi government SaaS: A step towards digital transformation

Nawar A. Sultan, Aqeel A. Al-Hilali, Yaqeen S. Mezaal, Kadhum Al-Majdi et al.
3 citations
Sustainable Engineering and Innovation ISSN 2712-0562
Currency Recognition and Detection
0.75
article

Cloud OCR implementation in Iraqi government SaaS: A step towards digital transformation

Nawar A. Sultan, Aqeel A. Al-Hilali, Yaqeen S. Mezaal, Kadhum Al-Majdi, Ali Hussein Ali Alnooh
article en
3 citations

Abstract

The present paper examines the deployment of Cloud Optical Character Recognition (OCR) technology within the Software as a Service (SaaS) platforms of the Iraqi government, which can be considered a strategic step in digitalization in notary uses. The benefits, challenges, and possible outcomes of Cloud OCR incorporation into different government services are discussed in order to outline the opportunities it creates in terms of accelerating citizens’ efficient and transparent access to available services. Cloud OCR allows the Iraqi government to facilitate document processing, enhance the accuracy of provided data, and accelerate decision-making, especially for notarized processing. The paper depicted the MATLAB simulations for processing times of OCR and paper-based text extraction methods across multiple iterations along with accuracy rates for both cases for 25 documents that validate the main objective of this study. The significance of microstrip devices, IoT, AI, and cybersecurity in Cloud OCR are as well determined in this study.

Sustainable Engineering and Innovation ISSN 2712-0562Vol. 6(2)
Al-Nisour University College (IQ), University of Information Technology and Communications (IQ), Northern Technical University (IQ), Al-Farahidi University
Peace, Justice and strong institutions
Openalex Percentile: Top 28%
Currency Recognition and Detection
0.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cloud OCR implementation in Iraqi government SaaS: A step towards digital transformation — Nawar A. Sultan, Aqeel A. Al-Hilali, et al. · Sustainable Engineering and Innovation ISSN 2712-0562 (2024) | TGRS Research Map | TGRS