Abstract—Although several inscription recognition methods have been proposed, the experiments are not enough. We propose a novel approach to recognize the inscriptions by template matching. The techniques include Gaussian filtering, binarization, labeling, thinning, Hough transform and template matching. In order to reduce noises, we propose a four-directional scan labeling. The target inscriptions are selected randomly from the scanned inscriptions rubbing of book. The template matching compares the rubbing inscriptions with normalized inscriptions which are selected from an inscriptions database. The normalized inscriptions are generated by character font software, which makes the characters smooth, clear, uniformly thick strokes, and straight. The experiment results show that 87% of 31 inscriptions are correctly recognized.
Index Terms—Oracular bone inscription, recognition, labeling, template matching.
Lin Meng, Yoshiyuki Fujikawa, Tomonori Izumi, and Katsuhiro Yamazaki are with the Department of Electronic and Computer Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan (e-mail: {menglin@fc, fujikawa@hpc.se, t-izumi@se yamazaki@se}.ritsumei.ac.jp).
Atsushi Ochiai is with the College of Letters, Ritsumeikan University, Kusatsu, Kyoto, Japan (e-mail: aot23191@lt).
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Cite:Lin Meng, Yoshiyuki Fujikawa, Atsushi Ochiai, Tomonori Izumi, and Katsuhiro Yamazaki, "Recognition of Oracular Bone Inscriptions Using Template Matching," International Journal of Computer Theory and Engineering vol. 8, no. 1, pp. 53-57, 2016.
