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Computer aided restoration of handwritten character strokes

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Date
2017-08-01
Authors
Sober, B
Levin, D
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Abstract
© 2017 Elsevier Ltd This work suggests a new variational approach to the task of computer aided segmentation and restoration of incomplete characters, residing in a highly noisy document image. We model character strokes as the movement of a pen with a varying radius. Following this model, in order to fit the digital image, a cubic spline representation is being utilized to perform gradient descent steps, while maintaining interpolation at some initial (manually sampled) points. The proposed algorithm was used in the process of restoring approximately 1000 ancient Hebrew characters (dating to ca. 8th–7th century BCE), some of which are presented herein and show that the algorithm yields plausible results when applied on deteriorated documents.
Type
Journal article
Subject
Science & Technology
Technology
Computer Science, Software Engineering
Computer Science
Computer aided design
Hebrew ostraca
First temple period
Historical document analysis
INSCRIPTIONS
MOVEMENTS
WRITER
MODEL
Permalink
https://hdl.handle.net/10161/19605
Published Version (Please cite this version)
10.1016/j.cad.2017.04.005
Publication Info
Sober, B; & Levin, D (2017). Computer aided restoration of handwritten character strokes. CAD Computer Aided Design, 89. pp. 12-24. 10.1016/j.cad.2017.04.005. Retrieved from https://hdl.handle.net/10161/19605.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Sober

Barak Sober

Phillip Griffiths Assistant Research Professor
I am currently privilaged to be working with Prof. Ingrid Daubechies. Before that, I have completed my PhD in applied mathematics at Tel-Aviv University under the mentoring of Prof. David Levin. My MSc was co-mentored by Prof. Levin and Prof. Israel Finkelstein from the Department of Archaeology and Ancient Near Eastern Civilizations. My research ranges between analysis of high dimensional data from a geometrical perspective and the applicatio
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