Whiteboard Text Recognition and Note Saving System

Hari Chandana B., Avula Adithya Babu, Boya Udayasree, Tamidepati Venkata Vindya Sai, Kottam Jagadesh, Ke Eswar Goud

2025

Abstract

The use of modern technologies makes Whiteboard Text Recognition and Note Saving System to effectively take handwritten notepad of whiteboard text to identify and save. It works by taking a picture of a white board using a phone or camera, and uploading it for processing. The detected image is then improved using edge detection, contrast, and noise removal algorithms through OpenCV— to better isolate portions of readable text. With the contour detection and bounding box techniques, we are able to distinguish which RAW data inside an image contains handwritten textual data that is then detected and segmented using OpenCV algorithms. The extracted image segments are then passed into a TensorFlow based (OCR) model that accurately predicts the handwritten characters. Postprocessing with formatting adjustments used to make the recognized text more readable and accurate. The processed text is then saved in an ordered fashion into the database, making it easily accessible for taking notes and retrieval. The user-friendly dashboard allows for viewing, editing, and sharing of the digital notes, facilitating collaboration and sharing in both educational and professional settings. The app converts handwriting from a whiteboard into a digital format that aid knowledge sharing and collaboration. OpenCV is used for image preprocessing and TensorFlow for recognizing words to achieve it.

Paper Citation

in Harvard Style

B. H., Babu A., Udayasree B., Sai T., Jagadesh K. and Goud K. (2025). Whiteboard Text Recognition and Note Saving System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 100-104. DOI: 10.5220/0013877800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Hari B. and Avula Babu and Boya Udayasree and Tamidepati Sai and Kottam Jagadesh and Ke Goud},
title={Whiteboard Text Recognition and Note Saving System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={100-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013877800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Whiteboard Text Recognition and Note Saving System
SN - 978-989-758-777-1
AU - B. H.
AU - Babu A.
AU - Udayasree B.
AU - Sai T.
AU - Jagadesh K.
AU - Goud K.
PY - 2025
SP - 100
EP - 104
DO - 10.5220/0013877800004919
PB - SciTePress