Name
Title | ||
|---|---|---|
A Model For Evaluating The Performance Of A Multiple Keywords Spotting System For The Transcription Of Historical Handwritten Documents |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/jimaging6110117 | JOURNAL OF IMAGING |
Keywords | DocType | Volume |
historical document processing, keyword spotting, performance evaluation models | Journal | 6 |
Issue | ISSN | Citations |
11 | 2313-433X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Marcelli | 1 | 139 | 32.42 |
| Giuseppe De Gregorio | 2 | 0 | 0.34 |
| Adolfo Santoro | 3 | 7 | 2.72 |