Open Access Paper
28 December 2022 Baseline detection based on local connection and evaluation for Tibetan historical document text line
Yiqun Wang, Weilan Wang, Zhengqi Cai
Author Affiliations +
Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125066E (2022) https://doi.org/10.1117/12.2662891
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
The baseline position is an important reference information of the text line in the document written by Uchen Script. In order to overcome the distortion of text line and obtain accurate baseline position, this paper proposes a baseline detection method based on lines connection local and global evaluation. First, the slanted document image is corrected and the number of text lines is determined by projection. Then the discrete lines are connected locally; Finally, the baseline of text lines is obtained by evaluating the combination of baselines. Experimental results show that the proposed method can effectively overcome document skew and text line distortion, and the baseline position detected is accurate.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiqun Wang, Weilan Wang, and Zhengqi Cai "Baseline detection based on local connection and evaluation for Tibetan historical document text line", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125066E (28 December 2022); https://doi.org/10.1117/12.2662891
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Distortion

Lithium

Detection and tracking algorithms

Image segmentation

Edge detection

Feature extraction

Mathematics

RELATED CONTENT


Back to Top