Recognition of Oracle Bone Inscriptions by Extracting Line Features on Image Processing

Lin Meng

Abstract

Oracle bone inscriptions is a kind of characters, which are inscribed on cattle bone or turtle shells with sharp objects about 3000 years ago. Understanding these inscriptions can give us a lot of insight into world history, character evaluations, global weather shifts, etc. However, for some political reasons the inscriptions remained buried in ruins until their discovery about 120 years ago. The aging process has caused the inscriptions to become less legible. In this work, we design a system and proposal a recognition method for recognizing oracle bone inscriptions as a template image from an oracle bone inscription database, by using the line feature of the inscriptions. First we use Gaussian filtering and labeling to reduce noise and use affine transformation and thinning to extract the skeleton. Then we use Hough transform to extracting the line feature points by proposing a method of clustering. Finally, we calculate the minimum distance of the line feature points between the original image and the template images to perform the recognition. Experimental results shows that almost 80% of inscriptions are recognized as the most minimum distance and the second-most minimum-distance. And the proposal can recognized well, even if the noise and tilt happened in original images.

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Paper Citation


in Harvard Style

Meng L. (2017). Recognition of Oracle Bone Inscriptions by Extracting Line Features on Image Processing . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 606-611. DOI: 10.5220/0006225706060611


in Bibtex Style

@conference{icpram17,
author={Lin Meng},
title={Recognition of Oracle Bone Inscriptions by Extracting Line Features on Image Processing},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={606-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006225706060611},
isbn={978-989-758-222-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Recognition of Oracle Bone Inscriptions by Extracting Line Features on Image Processing
SN - 978-989-758-222-6
AU - Meng L.
PY - 2017
SP - 606
EP - 611
DO - 10.5220/0006225706060611