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GPU Based Optical Character Transcription for Ancient Inscription Recognition

Hubert Mara, Jan Hering, Susanne Kromker
Visualization & Numerical Geometry Group, Heidelberg Univ., Heidelberg, Germany
15th International Conference on Virtual Systems and Multimedia, 2009. VSMM ’09

@inproceedings{mara2009gpu,

   title={GPU Based Optical Character Transcription for Ancient Inscription Recognition},

   author={Mara, H. and Hering, J. and Kr{\"o}mker, S.},

   booktitle={2009 15th International Conference on Virtual Systems and Multimedia},

   pages={154–159},

   year={2009},

   organization={IEEE}

}

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Motivated by the challenging questions of todays sinologists we are developing an automated system for processing of ancient Chinese inscriptions (sutras). As these inscriptions are not accessible due to location or damage our input data are noisy images of paper showing the texture of stones together with the inscriptions transfered by charcoal or pencil. Due to the vast amount and large sizes of the images we adopted highly parallelized – and therefore high-performance — anisotropic filtering using standard computer hardware. Additionally characters are localized/segmented for further processing by optical character recognition. Real results for ancient Chinese inscriptions, which are mimicking non-standardized handwritings are shown.
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