An enhanced binarization framework for degraded historical document images

An enhanced binarization framework for degraded historical document images

Abstract Binarization plays an important role in document analysis and recognition (DAR) systems. In this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten document image binarization (H-DIBCO 2018), which is based on background estimation and energy minimization. Firs...

Full description

Bibliographic Details
Main Authors: Wei Xiong, Lei Zhou, Ling Yue, Lirong Li, Song Wang
Format: Article
Language:English
Published: SpringerOpen 2021-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Document image binarization
Document image segmentation
Background estimation and compensation
Laplacian energy minimization
Minimum entropy-based stroke width transform (SWT)
Markov random fields (MRFs)
Online Access:https://doi.org/10.1186/s13640-021-00556-4

Similar Items

Similar Items