Open-Set Text Recognition Concepts, Framework, and Algorithms

In real-world applications, new data, patterns, and categories that were not covered by the training data can frequently emerge, necessitating the capability to detect and adapt to novel characters incrementally. Researchers refer to these challenges as the Open-Set Text Recognition (OSTR) task, whi...

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Bibliographic Details
Main Authors: Yin, Xu-Cheng, Yang, Chun (Author), Liu, Chang (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Series:SpringerBriefs in Computer Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction
  • Background
  • Open-Set Text Recognition: Concept, DataSet, Protocol, and Framework
  • Open-Set Text Recognition Implementations(I): Label-to-Representation Mapping
  • Open-Set Text Recognition Implementations(II): Sample-to-Representation Mapping
  • Open-Set Text Recognition Implementations(III): Open-set Predictor
  • Open Set Text Recognition: Case-studies
  • Discussions and Future Directions.