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A. Namane

dblp:16/1083 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 67% Image and video processing · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › curve fitting
curve interpolation
0.011990
Character Scaling by Contour Method · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing › image resampling
image rescaling
0.011990
Character Scaling by Contour Method · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Geometric modeling and processing › curve fitting
spline interpolation
0.011990
Character Scaling by Contour Method · IEEE Trans. Pattern Anal. Mach. Intell. 1990

Methods — techniques the papers use, named apart from their topics

cubic spline interpolation · 0.0
YearPublicationVenuePosition
1990 Character Scaling by Contour Method
abstract
Advancement in digital-image processing hardware has given the printing industry novel facilities for capturing fonts and has provided new grounds for character scaling, which is an important issue in typesetting and graphical text. An algorithm for digital character scaling by a contour method is developed and implemented. The algorithm is based on scaling the contour of the character through a transformation. Cubic splines are used to interpolate the discrete samples of the contour character. Final results show no jaggies. The algorithm is applied to Arabic fonts and compared to two other algorithms: replication and telescoping template. The superior performance of the contour method is attributed to the cubic spline fitting, which gives better smoothness to the edge of the character.>
A. Namane, Maher A. Sid-Ahmed
IEEE Trans. Pattern Anal. Mach. Intell.1