Perimeter Histogram based Approach for Calligraphy Classification in Ancient Manuscripts
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Date
2014-12
Authors
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Journal ISSN
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Publisher
IEEE Xplore
Abstract
Manual annotation of images is usually a mandatory
task in many applications where no knowledge about the
image is available. In presence of huge number of images, this task
becomes very tedious and prone to human errors. In this paper,
we contribute in automatic annotation of ancient manuscripts by
discovering manuscript calligraphy. Ancient manuscripts count a
very large number of Persian and Maghrebi writing especially
in Noth Africa. Distinguishing between these two calligraphies
allows better classifying them and so annotating them. We use
background constructing followed by extraction of simple features
to classify manuscript calligraphies using an SVM classifier.
Description
Keywords
manuscript annotation;, handwritting, calligraphy classification, supervised learning, SVM, Perimeter histogram