International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

A Computer Vision Based System For Exam Sheet Digitization and Performance Analysis

Author(s) Ms. Patan Sarithaj, Kamarajugadda V V N S R Gowtham, Chembeti Naga Venkata Kumar, Kotapati Bhargava Ram Gopi chand, Gutlapalli Sai Vardhan Kumar
Country India
Abstract Manual processing and data entry of exam sheets are time-consuming and error-prone, particularly in institutions handling large student populations. This paper presents an automated Exam Sheet Digitization and Performance Analysis System (ESDPAS) that integrates computer vision and Optical Character Recognition (OCR) to extract and analyze information from scanned or digital exam sheets. The system employs YOLOv8 for precise region detection, OpenCV for image preprocessing, Tesseract OCR for text extraction, and Pandas for data handling and analytics. Extracted data including student names, roll numbers, branch, and marks is structured and stored in an Oracle SQL database. The system generates detailed performance reports and interactive data visualizations, providing valuable insights into academic trends and enabling educators to make data-driven decisions. The proposed system minimizes manual effort, improves evaluation accuracy, and offers high scalability suitable for large institutions.
Keywords Exam Sheet Digitization, Optical Character Recognition (OCR), YOLOv8, Computer Vision, OpenCV, Tesseract, Performance Analytics, Academic Evaluation, Image Processing
Field Computer > Data / Information
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-27
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.72547

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