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Text line extraction for historical document images
Raid Saabni
, Abedelkadir Asi
,
Jihad El-Sana
Research output
:
Contribution to journal
›
Article
›
peer-review
86
Scopus citations
Overview
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Keyphrases
Text Line
100%
Text Line Extraction
100%
Historical Document Images
100%
Grayscale Image
33%
Global Methods
16%
Segmentation Method
16%
Grayscale
16%
Text Segmentation
16%
Language-independent
16%
Arabic-English
16%
Upper Boundary
16%
Binary Document Image
16%
Energy Map
16%
Lower Boundary
16%
Distance Transform
16%
Binary Dataset
16%
Binary Algorithm
16%
Binary Image
16%
Segmentation Accuracy
16%
Document Image
16%
New Benchmark
16%
Text-to-image
16%
Computer Science
document image
100%
Experimental Result
25%
Segmentation Method
25%
Distance Transform
25%
segmentation accuracy
25%