
Automated Text Recognition
Theory, Platforms, Best-Practices
Bielefeld University Press
Published on 15. May 2026
Online / Databases
220 pages
978-3-69129-041-7 (ISBN)
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Description
The diverse landscape of platforms and recognition systems in the field of Automated Text Recognition (ATR) offers significant opportunities for the digital analysis and exploitation of handwritten sources. At the same time, in this complex and rapidly evolving field, established concepts of text processing and analysis quickly reach their limits.
This book provides scholars in the humanities with guidance by presenting technologies, platforms, key concepts, and case studies. It helps readers develop algorithmic literacy, enabling them to carry out both small- and large-scale projects using current technologies, as well as to engage with future developments in the field of ATR.
More details
Language
English
Place of publication
Bielefeld
Germany
Target group
Professional and scholarly
File size
42,39 MB
ISBN-13
978-3-69129-041-7 (9783691290417)
DOI
10.64136/nrlj5339
Schweitzer Classification
Other editions
Additional editions

Michael Schonhardt | Tim Geelhaar | Tobias Hodel
Automated Text Recognition
Theory, Platforms, Best-Practices
Book
approx. 06/2026
Bielefeld University Press
€65.00
Not yet published