Incremental Recognition of Multi-Style Tibetan Character Based on Transfer Learning

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...

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Bibliographic Details
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:
Tibetan recognition
multi-style recognition
residual networks
transfer learning
incremental recognition
Online Access:https://ieeexplore.ieee.org/document/10478003/

Internet

https://ieeexplore.ieee.org/document/10478003/

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