Segmentation and Recognition for Historical Tibetan Document Images
As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received extensive attention from historians, linguists and Buddhist scholars. These documents are converted into digital form using Tibetan document segmentation and recognition methods. The document digitization i...
Main Authors: | Longlong Ma, Congjun Long, Lijuan Duan, Xiqun Zhang, Yanxing Li, Quanchao Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9003213/ |
Similar Items
-
Character Detection and Segmentation of Historical Uchen Tibetan Documents in Complex Situations
by: Ce Zhang, et al.
Published: (2022-01-01) -
An Unsupervised Character Recognition Method for Tibetan Historical Document Images Based on Deep Learning
by: Xiaojuan Wang, et al.
Published: (2024-03-01) -
Learning-Free Text Line Segmentation for Historical Handwritten Documents
by: Berat Kurar Barakat, et al.
Published: (2020-11-01) -
CNN-Based Page Segmentation and Object Classification for Counting Population in Ottoman Archival Documentation
by: Yekta Said Can, et al.
Published: (2020-05-01) -
ARletta. Open-Source Handwritten Text Recognition Models for Historic Dutch
by: Lith Lefranc, et al.
Published: (2024-07-01)