Research on automatic segmentation and recognition of single characters in original rubbings based on intelligent recognition of oracle bone inscriptions
DOI:
https://doi.org/10.54097/0k5qen34Keywords:
Oracle recognition, YOLOv8, image segmentation, edge detection.Abstract
This paper proposes an effective segmentation and recognition method using YOLOv8 to solve the problem of segmentation and recognition of Oracle rubbings images. Draw sub-pixel edge contours through spot detection, corner detection, and edge detection (such as Canny and Sobel), and combine grayscale, opening operations, binarization, and Gaussian filtering to remove noise and repair contours, extract image features, and establish preprocessing Model. Use this model to preprocess the original oracle rubbing image and train it based on YOLOv8. The results show that this method can effectively segment and identify oracle bones characters.
Downloads
References
[1] Liu Yang, Lu Yi, Wei Yuchi, et al. Research status and prospects of oracle bone recognition technology [J]. Knowledge Management Forum, 2023, 8(02): 115-125.
[2] Liu Yongge, Liu Guoying. Oracle bone character recognition based on SVM [J]. Journal of Anyang Normal University, 2017, (02): 54-56.
[3] Gu Shaotong. Oracle bone character recognition method based on fractal geometry [J]. Journal of Chinese Information Science, 2018, 32(10): 138-142.
[4] Liu Guoying. Detection and recognition of oracle bone characters based on deep learning [J]. Yindu Academic Journal, 2020, 41(03): 54-59.
[5] Liu Fang, Li Huabiao, Ma Jin, et al. Research on automatic detection and recognition of Oracle rubbings based on Mask R-CNN [J]. Data Analysis and Knowledge Discovery, 2021, 5(12): 88-97.
[6] Mei W ,Weihong D ,ChengLin L .Unsupervised Structure-Texture Separation Network for Oracle Character Recognition.[J].IEEE transactions on image processing: a publication of the IEEE Signal Processing Society,2022,PP
[7] Mao Yafei, Bi Xiaojun. Improved ResNeSt network for recognition of oracle bone characters on rubbings [J]. Journal of Intelligent Systems, 2023, 18(03): 450-458.
[8] Bi Xiaojun, Mao Yafei. Small-sample oracle bone character recognition based on supervised contrastive learning [J]. Journal of Intelligent Systems, 2024, 19(01): 106-113.
[9] Leng Ruixuan. Application of foreign object identification algorithm in transmission lines based on YOLOv8 [D]. Northeast Agricultural University, 2024.
[10] Wang Yaoguang. Research on mobile phone screen defect detection algorithm based on YOLOv8 improved model [D]. East China Normal University, 2023.
[11] Yuan Hongchun, Tao Lei. Detection and identification of fish in commercial fishing vessel electronic monitoring data based on improved Yolov8 [J]. Journal of Dalian Ocean University, 2023, 38(03): 533-542.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







