RSTC: A New Residual Swin Transformer for Offline Word-Level Writer Identification
Author:
Affiliation:
1. College of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09783058.pdf?arnumber=9783058
Reference48 articles.
1. CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting
2. The IAM-database: an English sentence database for offline handwriting recognition
3. Deep adaptive learning for writer identification based on single handwritten word images
4. Automatic Visual Features for Writer Identification: A Deep Learning Approach
5. Encoding Pathlet and SIFT Features With Bagged VLAD for Historical Writer Identification
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