An overview of statistical and neural-based line segmentation methods for offline handwriting recognition task

Yakovchuk, Oleg; Rogoza, Walery

Please use this identifier to cite or link to this item: https://hdl.handle.net/11159/653487

Title:

An overview of statistical and neural-based line segmentation methods for offline handwriting recognition task

Journal:

Technology audit and production reserves

Authors:

Yakovchuk, Oleg
Rogoza, Walery

e-ISSN:

2706-5448

Document Type:

Article

Year of Publication:

2024

Open Content License:

Original URL:

https://journals.uran.ua/tarp/article/download/298405/291174/688686

Persistent Identifier of the first edition:

doi:10.15587/2706-5448.2024.298405

Language:

English (eng)

Citation:

Yakovchuk, Oleg/Rogoza, Walery (2024). An overview of statistical and neural-based line segmentation methods for offline handwriting recognition task. In: Technology audit and production reserves 1 (2/75), S. 14 - 19.
https://journals.uran.ua/tarp/article/download/298405/291174/688686.
doi:10.15587/2706-5448.2024.298405.

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Open Access ZBW

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