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Segmenting large historical notarial manuscripts into multi-page deeds

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Segmenting large historical notarial manuscripts into multi-page deeds

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dc.contributor.author José Ramón Prieto es_ES
dc.contributor.author Becerra, David es_ES
dc.contributor.author Toselli, Alejandro Héctor es_ES
dc.contributor.author Alonso, Carlos es_ES
dc.contributor.author Vidal, Enrique es_ES
dc.date.accessioned 2025-02-26T19:09:49Z
dc.date.available 2025-02-26T19:09:49Z
dc.date.issued 2024-02 es_ES
dc.identifier.issn 1433-7541 es_ES
dc.identifier.uri http://hdl.handle.net/10251/214871
dc.description.abstract [EN] Archives around the world hold vast digitized series of historical manuscript books or "bundles" containing, among others, notarial records also known as "deeds" or "acts". One of the frst steps to provide metadata which describe the contents of those bundles is to segment them into their individual deeds. Even if deeds are often page-aligned, as in the bundles considered in the present work, this is a time-consuming task, often prohibitive given the huge scale of the manuscript series involved. Unlike traditional Layout Analysis methods for page-level segmentation, our approach goes beyond the realm of a single-page image, providing consistent deed detection results on full bundles. This is achieved in two tightly integrated steps: frst, we estimate the class-posterior at the page level for the "initial", "middle", and ¿fnal¿ classes; then we "decode" these posteriors applying a series of sequentiality consistency constraints to obtain a consistent book segmentation. Experiments are presented for four large historical manuscripts, varying the number of "deeds" used for training. Two metrics are introduced to assess the quality of book segmentation, one of them taking into account the loss of information entailed by segmentation errors. The problem formalization, the metrics and the empirical work signifcantly extend our previous works on this topic. es_ES
dc.description.sponsorship Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Work partially supported by the research grants: the SimancasSearch project as Grant PID2020-116813RB-I00a funded by MCIN/AEI/ 10.13039/501100011033 and ValgrAI - Valencian Graduate School and Research Network of Artifcial Intelligence and the Generalitat Valenciana, co-funded by the European Union. The second author s work was partially supported by the Universitat Politècnica de València under grant FPI-I/SP20190010. The third author s work is supported by a María Zambrano grant from the Spanish Ministerio de Universidades and the European Union NextGenerationEU/PRTR. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Pattern Analysis and Applications es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Handwritten document image processing es_ES
dc.subject Multi-page layout analysis es_ES
dc.subject Bundle segmentation es_ES
dc.subject Historical manuscripts es_ES
dc.title Segmenting large historical notarial manuscripts into multi-page deeds es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10044-024-01235-6 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116813RB-I00/ES/SEARCHING IN THE SIMANCA ARCHIVE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//FPI-I%2FSP20190010/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation José Ramón Prieto; Becerra, D.; Toselli, AH.; Alonso, C.; Vidal, E. (2024). Segmenting large historical notarial manuscripts into multi-page deeds. Pattern Analysis and Applications. 27(22). https://doi.org/10.1007/s10044-024-01235-6 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10044-024-01235-6 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 27 es_ES
dc.description.issue 22 es_ES
dc.relation.pasarela S\510045 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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