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.