Paper
23 January 2012 Style comparisons in calligraphy
Author Affiliations +
Proceedings Volume 8297, Document Recognition and Retrieval XIX; 82970O (2012) https://doi.org/10.1117/12.908872
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Calligraphic style is considered, for this research, visual attributes of images of calligraphic characters sampled randomly from a "work" created by a single artist. It is independent of page layout or textual content. An experimental design is developed to investigate to what extent the source of a single, or of a few pairs, of character images can be assigned to the either same work or to two different works. The experiments are conducted on the 13,571 segmented and labeled 600-dpi character images of the CADAL database. The classifier is not trained on the works tested, only on other works. Even when only a few samples of same-class pairs are available, the difference-vector of a few simple features extracted from each image of a pair yields over 80% classification accuracy for a same-work vs. different-work dichotomy. When many pairs of different classes are available for each pair, the accuracy, using the same features, is almost the same. These style-verification experiments are part of our larger goal of style identification and forgery detection.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiafen Zhang and George Nagy "Style comparisons in calligraphy", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970O (23 January 2012); https://doi.org/10.1117/12.908872
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Cited by 7 scholarly publications.
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KEYWORDS
Databases

Image segmentation

Feature extraction

Image classification

Binary data

Biometrics

Digital libraries

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