Building Document Scanner Using Computer Vision

In this digital era, scanning documents is essential for filling online application forms. This paper presents building mobile document Scanner using Computer Vision. OpenCV is an open-source computer vision and machine learning software library which is used to perform all the image processing tasks effectively. In this application, several image processing techniques are used such as image re-sizing, Grayscale conversion, applying Gaussian blur, Edge detection, finding Contours, Perspective transformation, and Adaptive threshold. By implementing all these techniques on a given scanned image, the system can accurately detect edges automatically and produces required scanned documents from images captured through mobile camera. The accuracy of the scanned documents compared with 240p and 720p cameras. This application makes life more convenient while also promoting a paperless, eco-friendly way of working.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-17
DOI
https://doi.org/10.22214/ijraset.2025.70988
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building Document Scanner Using Computer Vision

S. Rao Chintalapudi
International Journal for Research in Applied Science and Engineering Technology
BIM and Construction Integration
article

Building Document Scanner Using Computer Vision

S. Rao Chintalapudi
article en

Abstract

In this digital era, scanning documents is essential for filling online application forms. This paper presents building mobile document Scanner using Computer Vision. OpenCV is an open-source computer vision and machine learning software library which is used to perform all the image processing tasks effectively. In this application, several image processing techniques are used such as image re-sizing, Grayscale conversion, applying Gaussian blur, Edge detection, finding Contours, Perspective transformation, and Adaptive threshold. By implementing all these techniques on a given scanned image, the system can accurately detect edges automatically and produces required scanned documents from images captured through mobile camera. The accuracy of the scanned documents compared with 240p and 720p cameras. This application makes life more convenient while also promoting a paperless, eco-friendly way of working.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
All India Council for Technical Education (IN)
Openalex Percentile: Top 89%
BIM and Construction Integration
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.

Building Document Scanner Using Computer Vision — S. Rao Chintalapudi · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS