 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: October 2025
Volume 10 | Issue 10
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 17894
Article Published : 7703
Total Authors : 20391
Total Reviewer : 744
Total Countries : 139
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | OMR Automated Grading System |
| Authors Name: | Shashanka U N , Janardhan Singh , Sanjay Kulkarni , Sanket Balagouda Patil , Shashank M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_188898
|
| Published Paper Id: | IJRTI2401035 |
| Published In: | Volume 9 Issue 1, January-2024 |
| DOI: | |
| Abstract: | This paper introduces an Automated Grading System for Multiple-Choice Surveys, leveraging the power of OpenCV (Open-Source Computer Vision Library). The conventional manual grading methods for surveys often pose challenges in terms of time efficiency and accuracy. The integration of Optical Mark Recognition (OMR) technology has alleviated some of these challenges, but this paper seeks to enhance the grading process further through the incorporation of OpenCV. The renowned high-level organizations or institutions utilize Optical Mark Recognition (OMR) technology for the efficient assessment of a large number of placing the answer sheet before a webcam, the system captures the image automatically. The system, designed for accessibility and ease of use, evaluates all the answers, calculates the score and total percentage, and displays the results. Leveraging the ubiquity of laptops, the proposed system eliminates the need for expensive scanners and offers a more accessible solution for educational institutions. The primary objectives include improving efficiency, minimizing human errors, ensuring scalability for handling large volumes of survey sheets, and integrating advanced technology through OpenCV for robust image processing and pattern student papers, numbering in the millions. This approach is driven by the impracticality of manually grading each paper due to the sheer volume of students, coupled with the potential for human errors and biases. Additionally, maintaining physical papers for an extended period poses challenges related to climate-induced damage, and the manual recording of scores in various Excel sheets further compounds the administrative burden. The sophisticated scanners employed by high- level organizations for continuous batch scanning are often beyond the financial reach of regular schools or colleges. In addressing these challenges, the goal of this project is to develop a system that simplifies the evaluation process. By recognition. This Automated Grading System represents a scalable, accurate, and efficient solution for evaluating multiple- choice surveys, setting a new standard for modern survey-based assessments. |
| Keywords: | |
| Cite Article: | "OMR Automated Grading System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.200 - 206, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401035.pdf |
| Downloads: | 000205101 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2401035
Registration ID:188898
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 200 - 206 Country: Bengaluru, Karnataka, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401035 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401035 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||