Projection-based text line segmentation with a variable threshold
DOI10.1515/amcs-2017-0014zbMath1367.94072OpenAlexW2604383305MaRDI QIDQ2012159
Bartosz Żygadło, Roman Ptak, Olgierd Unold
Publication date: 28 July 2017
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/amcs-2017-0014
handwritten text line segmentationdocument image processingoffline cursive script recognitionprojection profile
Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Text line and word segmentation of handwritten documents
- Text line extraction from multi-skewed handwritten documents
- Text line detection in handwritten documents
- A survey of cross-validation procedures for model selection
- Control of the false discovery rate under dependence using the bootstrap and subsampling
- Repulsive attractive network for baseline extraction on document images
- Inference for the generalization error
- An analytical iterative statistical algorithm for image reconstruction from projections
- Document Analysis Systems II
- Evaluating Learning Algorithms
- Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms
This page was built for publication: Projection-based text line segmentation with a variable threshold
