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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
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ZoneRW: verso un'integrazione con Kraken ed eScriptorium per il riconoscimento e la gestione avanzata delle regioni di interesse

ZoneRW: Towards Integration with Kraken and eScriptorium for Advanced Recognition and Management of Regions of Interest
Authors: DEL GROSSO, ANGELO MARIO; SPAMPINATO, DARIA; Sichera, Pietro; Mazzagufo, Laura;

ZoneRW: verso un'integrazione con Kraken ed eScriptorium per il riconoscimento e la gestione avanzata delle regioni di interesse

Abstract

L’identificazione delle regioni di interesse (region of interest, ROI) nei documenti facsimilari è essenziale per un corretto processo di digitalizzazione e per lo studio sia di testi manoscritti sia di testi a stampa. Questo contributo presenta un’estensione di funzionalità del software ZoneRW (nato nel contesto dell’edizione scientifica digitale Bellini Digital Correspondence), per integrare il tool Kraken, dedicato al rilevamento automatico delle zone e al riconoscimento automatico del testo, e l’ambiente digitale eScriptorium per la gestione avanzata del processo di digitalizzazione a partire da repertori di immagini di documenti testuali. Il workflow proposto utilizza il formato XML-PAGE per garantire interoperabilità e scalabilità, permettendo contestualmente di definire, modificare ed esportare le regioni di interesse verso eScriptorium. Inoltre, le nuove funzionalità di ZoneRW consentono di collegare i documenti di descrizione di immagini mediante protocollo IIIF (manifest IIIF). Il contributo evidenzia e discute le differenze tra i formati XML-PAGE e XML-ALTO nonché le prospettive per futuri sviluppi dello strumento ZoneRW nel contesto delle Digital Humanities. 

The detection of regions of interest (ROI) in facsimile documents is essential for a proper digitization process and for the study of both manuscript and printed texts. This contribution presents a feature extension of the ZoneRW software (created in the context of the Bellini Digital Correspondence digital scholarly edition), to integrate the Kraken tool, dedicated to automatic zone detection and automatic text recognition, and the eScriptorium digital environment for advanced management of the digitization process from image repositories of textual documents. The proposed workflow uses the XML-PAGE format to ensure interoperability and scalability, while simultaneously allowing regions of interest to be defined, edited, and exported to eScriptorium. In addition, the new ZoneRW capabilities allow image description documents to be linked via IIIF protocol (manifest IIIF). The paper highlights and discusses the differences between XML-PAGE and XML-ALTO formats as well as prospects for future developments of the ZoneRW tool in the Digital Humanities context.

Country
Italy
Keywords

ZoneRW, digitalizzazione, Kraken, digitization, ROI, regioni di interesse, regions of interest, eScriptorium

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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