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- Title
Enhancing Document Image Retrieval in Education: Leveraging Ensemble-Based Document Image Retrieval Systems for Improved Precision.
- Authors
Alzoubi, Yehia Ibrahim; Topcu, Ahmet Ercan; Ozdemir, Erdem
- Abstract
Document image retrieval (DIR) systems simplify access to digital data within printed documents by capturing images. These systems act as bridges between print and digital realms, with demand in organizations handling both formats. In education, students use DIR to access online materials, clarify topics, and find solutions in printed textbooks by photographing content with their phones. DIR excels in handling complex figures and formulas. We propose using ensembles of DIR systems instead of single-feature models to enhance DIR's efficacy. We introduce "Vote-Based DIR" and "The Strong Decision-Based DIR". These ensembles combine various techniques, like optical code reading, spatial analysis, and image features, improving document retrieval. Our study, using a dataset of university exam preparation materials, shows that ensemble DIR systems outperform individual ones, promising better accuracy and efficiency in digitizing printed content, which is especially beneficial in education.
- Subjects
DOCUMENT imaging systems; INFORMATION retrieval; IMAGE retrieval; DIGITAL technology; HIGHER education exams
- Publication
Applied Sciences (2076-3417), 2024, Vol 14, Issue 2, p751
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app14020751