Tools for Historical Handwritten Document Analysis

Authors

  • Ioannis Pratikakis Democritus University of Thrace, Department of Electrical and Computer Engineering, Kimmeria Campus, 67100 Xanthi, Greece

DOI:

https://doi.org/10.55630/dipp.2025.15.1

Keywords:

Handwritten Text Recognition, Keyword Spotting, Historical Handwritten Documents

Abstract

Accessing historical documents requires an effective toolbox that comprises several technologies within the area of document image analysis. In this paper, we focus on Handwritten Text recognition (HTR) and Keyword spotting (KS) for which we present representative approaches that aim for effectiveness and efficiency.

References

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Tsochatzidis, L., Symeonidis, S., Papazoglou, A., & Pratikakis, I. (2021). HTR for Greek historical handwritten documents. Journal of Imaging, 7 (12), 260. https://doi.org/10.3390/jimaging7120260

Zagoris, K., Pratikakis, I., & Gatos, B. (2017). Unsupervised word spotting in historical handwritten documents using document-oriented local features. IEEE Transactions on Image Processing, 26 (8), 4032–4041. https://doi.org/10.1109/TIP.2017.2700721

Zagoris, K., Amanatiadis, A., & Pratikakis, I. (2021). Word spotting as a service: An unsupervised and segmentation-free framework for handwritten documents. Journal of Imaging, 7 (12), 278. https://www.mdpi.com/2313-433X/7/12/278

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Published

2025-09-05

How to Cite

Pratikakis, I. (2025). Tools for Historical Handwritten Document Analysis. Digital Presentation and Preservation of Cultural and Scientific Heritage, 15, 17–26. https://doi.org/10.55630/dipp.2025.15.1