Author:
Lin Meng
Affiliation:
Ritsumeikan University, Japan
Keyword(s):
Recognition of Oracle Bone Inscriptions, Hough Transform, Clustering.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Image Understanding
;
Object Recognition
;
Pattern Recognition
;
Software Engineering
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
bet
ween 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.
(More)