DOAJ Open Access 2020

A Model for Evaluating the Performance of a Multiple Keywords Spotting System for the Transcription of Historical Handwritten Documents

Angelo Marcelli Giuseppe De Gregorio Adolfo Santoro

Abstrak

This paper proposes a performance model for estimating the user time needed to transcribe small collections of handwritten documents using a keyword spotting system (KWS) that provides a number of possible transcriptions for each word image. The model assumes that only information obtained from a small training set is available, and establishes the constraints on the performance measures to achieve a reduction of the time for transcribing the content with respect to the time required by human experts. The model is complemented with a procedure for computing the parameters of the model and eventually estimating the improvement of the time to achieve a complete and error-free transcription of the documents.

Topik & Kata Kunci

Photography Computer applications to medicine. Medical informatics Electronic computers. Computer science

Penulis (3)

Angelo Marcelli

Giuseppe De Gregorio

Adolfo Santoro

Format Sitasi

APA MLA BibTeX

Marcelli, A., Gregorio, G.D., Santoro, A. (2020). A Model for Evaluating the Performance of a Multiple Keywords Spotting System for the Transcription of Historical Handwritten Documents. https://doi.org/10.3390/jimaging6110117

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.3390/jimaging6110117
Akses: Open Access ✓