Open Set Classification of Untranscribed Handwritten Documents
- URL: http://arxiv.org/abs/2206.13342v1
- Date: Mon, 20 Jun 2022 20:43:50 GMT
- Title: Open Set Classification of Untranscribed Handwritten Documents
- Authors: Jos\'e Ram\'on Prieto, Juan Jos\'e Flores, Enrique Vidal, Alejandro H.
Toselli, David Garrido, Carlos Alonso
- Abstract summary: Huge amounts of digital page images of important manuscripts are preserved in archives worldwide.
The class or typology'' of a document is perhaps the most important tag to be included in the metadata.
The technical problem is one of automatic classification of documents, each consisting of a set of untranscribed handwritten text images.
- Score: 56.0167902098419
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Huge amounts of digital page images of important manuscripts are preserved in
archives worldwide. The amounts are so large that it is generally unfeasible
for archivists to adequately tag most of the documents with the required
metadata so as to low proper organization of the archives and effective
exploration by scholars and the general public. The class or ``typology'' of a
document is perhaps the most important tag to be included in the metadata. The
technical problem is one of automatic classification of documents, each
consisting of a set of untranscribed handwritten text images, by the textual
contents of the images. The approach considered is based on ``probabilistic
indexing'', a relatively novel technology which allows to effectively represent
the intrinsic word-level uncertainty exhibited by handwritten text images. We
assess the performance of this approach on a large collection of complex
notarial manuscripts from the Spanish Archivo Host\'orico Provincial de
C\'adiz, with promising results.
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