DOI:​10.1109/NCG.2018.8593037
Corpus ID: 57361224
Classifying Digital Arabic Fonts Based on Design Characteristics
Jehan Janbi
Published 2018
Computer Science

2018 21st Saudi Computer Society National Computer Conference (NCC)
PANOSE is a system for classifying and matching typefaces based on their design features. It composes of 10 digits where each digit represents a specific design feature. It uses in several font… Expand
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Figures, Tables, and Topics from this paper
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Classification
Cluster analysis
Operating system
Similarity measure
statistical cluster
Silhouette (clustering)
Digit structure
Behavior
Personality Character
One Citation
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Computer Science
ArXiv

2020
References
SHOWING 1-10 OF 29 REFERENCES
Arabic Font Recognition Based on Templates
I. S. Abuhaiba
Computer ScienceInt. Arab J. Inf. Technol.
2003
17 Citations
PDF
Methods of Arabic Language Baseline Detection - The State of Art
Atallah Al-Shatnawi, K. Omar
Computer Science
2008
48 Citations
A short introduction to font characteristics
M. Gelderman
Computer Science
1999
6 Citations
Fonts & Encodings
Y. Haralambous, P. Horne
Computer Science
2007
16 Citations
A Method for Comparing Two Hierarchical Clusterings
E. Fowlkes, C. Mallows
Mathematics
1983
1,133 Citations
PDF
Exploratory font selection using crowdsourced attributes
Peter O'Donovan, Janis Libeks, A. Agarwala, Aaron Hertzmann
Computer ScienceACM Trans. Graph.
2014
115 Citations
PDF
Arabic typography : a comprehensive sourcebook
H. AbiFarès
Art
2001
20 Citations
A Linear Time Algorithm for Computing Exact Euclidean Distance Transforms of Binary Images in Arbitrary Dimensions
C. Maurer, Rensheng Qi, V. Raghavan
Mathematics, Computer Science
IEEE Trans. Pattern Anal. Mach. Intell.
2003
772 Citations
PDF
The Non-Designer's Design and Type Books, Deluxe Edition
Robin Williams
Computer Science
2007
4 Citations
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
P. Rousseeuw
Mathematics
1987
9,819 Citations
PDF
...
1
2
3
...
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