Using Paper Texture for Choosing a Suitable Algorithm for Scanned Document Image Binarization

The intrinsic features of documents, such as paper color, texture, aging, translucency, the kind of printing, typing or handwriting, etc., are important with regard to how to process and enhance their image. Image binarization is the process of producing a monochromatic image having its color versio...

Full description

Saved in:
Bibliographic Details
Published in:Journal of imaging 2022-10, Vol.8 (10), p.272
Main Authors: Lins, Rafael Dueire, Bernardino, Rodrigo, Barboza, Ricardo da Silva, De Oliveira, Raimundo Correa
Format: Article
Language:English
Subjects:
Algorithms
binarization algorithms
binarization competitions
Color
Data processing
DIB dataset
document binarization
Documents
Handwriting
historical documents
Image enhancement
Image quality
scanned documents
Texture
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The intrinsic features of documents, such as paper color, texture, aging, translucency, the kind of printing, typing or handwriting, etc., are important with regard to how to process and enhance their image. Image binarization is the process of producing a monochromatic image having its color version as input. It is a key step in the document processing pipeline. The recent Quality-Time Binarization Competitions for documents have shown that no binarization algorithm is good for any kind of document image. This paper uses a sample of the texture of the scanned historical documents as the main document feature to select which of the 63 widely used algorithms, using five different versions of the input images, totaling 315 document image-binarization schemes, provides a reasonable quality-time trade-off.
ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging8100272