Incremental Recognition of Multi-Style Tibetan Character Based on Transfer Learning
Tibetan script possesses a distinctive artistic form of writing, intricate glyph structures, and diverse stylistic variations. In the task of text recognition, effectively handling the recognition of Tibetan script with significantly different stylistic fonts remains a challenge. Existing research h...
Main Authors: | Guanzhong Zhao, Weilan Wang, Xiaojuan Wang, Xun Bao, Huarui Li, Meiling Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10478003/ |
Similar Items
-
Incremental multiclass open-set audio recognition
by: Hitham Jleed, et al.
Published: (2022-07-01) -
Construction of a Character Dataset for Historical Uchen Tibetan Documents under Low-Resource Conditions
by: Ce Zhang, et al.
Published: (2022-11-01) -
Generalized Spoof Detection and Incremental Algorithm Recognition for Voice Spoofing
by: Jinlin Guo, et al.
Published: (2023-06-01) -
SwordNet: Chinese Character Font Style Recognition Network
by: Xudong Li, et al.
Published: (2022-01-01) -
End-to-End-Based Tibetan Multitask Speech Recognition
by: Yue Zhao, et al.
Published: (2019-01-01)