Translator Disclaimer
24 March 2014 Writer identification on historical Glagolitic documents
Author Affiliations +
Proceedings Volume 9021, Document Recognition and Retrieval XXI; 902102 (2014)
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
This work aims at automatically identifying scribes of historical Slavonic manuscripts. The quality of the ancient documents is partially degraded by faded-out ink or varying background. The writer identification method used is based on image features, which are described with Scale Invariant Feature Transform (SIFT) features. A visual vocabulary is used for the description of handwriting characteristics, whereby the features are clustered using a Gaussian Mixture Model and employing the Fisher kernel. The writer identification approach is originally designed for grayscale images of modern handwritings. But contrary to modern documents, the historical manuscripts are partially corrupted by background clutter and water stains. As a result, SIFT features are also found on the background. Since the method shows also good results on binarized images of modern handwritings, the approach was additionally applied on binarized images of the ancient writings. Experiments show that this preprocessing step leads to a significant performance increase: The identification rate on binarized images is 98.9%, compared to an identification rate of 87.6% gained on grayscale images.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefan Fiel, Fabian Hollaus, Melanie Gau, and Robert Sablatnig "Writer identification on historical Glagolitic documents", Proc. SPIE 9021, Document Recognition and Retrieval XXI, 902102 (24 March 2014);


Reinforcement learning in computer vision
Proceedings of SPIE (April 13 2018)
Optimally localized estimation of the fractal dimension
Proceedings of SPIE (August 01 1990)
A comparison of tracking methods for swimming C. elegans
Proceedings of SPIE (March 12 2010)
Segmentation using models of expected structure
Proceedings of SPIE (February 01 1991)

Back to Top