Volume 13, Issue 11 • December 9, 2025
Robust Document Binarization for Low-Light Shorthand Notes
Open access • Peer reviewed • CC BY-NC-SA 4.0
Jaden Smith (Author) ORCID
Image ProcessingDocument AnalysisHandwritten Text Recognition
Abstract
This paper compares adaptive thresholding strategies for low-light shorthand note images captured in archival conditions. A contrast-aware pipeline improved stroke retention while reducing background artifacts.
Citation
Jaden Smith (2025). Robust Document Binarization for Low-Light Shorthand Notes. Journal of Young Scientists & Engineers, 13(11). DOI pending assignment.
Identifiers
DOI pending assignment Zenodo
Access
This article is available with open access and permanent identifier links for citation and discovery.
• ISSN 2319-6378 (Online)