A multi-scale framework for adaptive binarization of degraded document images

DOI10.1016/J.PATCOG.2009.12.024zbMath1191.68595OpenAlexW2072610689MaRDI QIDQ962812

Reza Farrahi Moghaddam, Mohamed Cheriet

Publication date: 7 April 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.12.024

zbMATH Keywords

adaptive methodsbinarizationdocument image processingmulti-scale framework

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (4)

Social group optimization supported segmentation and evaluation of skin melanoma images ⋮ Unsupervised measures for parameter selection of binarization algorithms ⋮ Optimal multi-level thresholding based on maximum Tsallis entropy via an artificial bee colony approach ⋮ Examination of Retinal Anatomical Structures—A Study with Spider Monkey Optimization Algorithm

Cites Work

• RSLDI: restoration of single-sided low-quality document images
• New multivalue methods for differential algebraic equations
• Stroke-model-based character extraction from gray-level document images
• Multiscale sharpening and smoothing in Besov spaces with applications to image enhancement

This page was built for publication: A multi-scale framework for adaptive binarization of degraded document images