Research on automatic segmentation and recognition of original topographic single characters based on intelligent recognition of oracle bones
DOI: 10.23977/jeis.2024.090313 | Downloads: 8 | Views: 109
Author(s)
Bingbing Hou 1
Affiliation(s)
1 School of Mathematics and Statistics, Guangxi Normal University, Guilin, China
Corresponding Author
Bingbing HouABSTRACT
The study of oracle bones is of great significance to the understanding of the development of Chinese and foreign civilizations, with the development of artificial intelligence computing, the text recognition of oracle bones has a more efficient method, and the use of machine vision related technology to achieve the text segmentation and text recognition of oracle bone topography can effectively improve the efficiency of the study of oracle bones. In this paper, the establishment of a series of models from the pre-processing of oracle bone topographies, the segmentation of oracle bone text to oracle bone text recognition is investigated. In this paper, we first preprocess the image of oracle bone topographies to eliminate the elements other than topographies, such as numbers and letters in the numbering, etc., and then use commonly used machine vision techniques to filter the image to reduce the impact of interference factors on oracle bone recognition, use image enhancement and image binarization techniques to make the text elements in the image more prominent, and finally use edge extraction techniques to extract the edge information of the text in the topographies.
KEYWORDS
Machine Vision, Image Preprocessing, K-Means, YolovCITE THIS PAPER
Bingbing Hou, Research on automatic segmentation and recognition of original topographic single characters based on intelligent recognition of oracle bones. Journal of Electronics and Information Science (2024) Vol. 9: 83-90. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090313.
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