• ISSN 2319-6378 (Online)Volume 13, Issue 11 • December 9, 2025
Line Segmentation Strategies for Noisy Cursive Archive Pages
Open access • Peer reviewed • CC BY-NC-SA 4.0
Alexandra Ballbach (Author) ORCID
Handwritten Text RecognitionDocument AnalysisMachine Learning
Abstract
This paper benchmarks projection-based and contour-based line segmentation methods on degraded cursive pages. A hybrid approach reduced merge and split errors for downstream handwriting recognition workflows.
Citation
Alexandra Ballbach (2025). Line Segmentation Strategies for Noisy Cursive Archive Pages. Journal of Young Scientists & Engineers, 13(11). DOI pending assignment.
Identifiers
DOI pending assignment Zenodo
Access
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