Abstract
We study the effect of language orthographic characteristics on the performance of digital word recognition in degraded documents such as historical documents. We provide a rigorous scheme for quantifying the influence of the orthographic characteristics on the quality of word recognition in such documents. We study and compare several orthographic characteristics for four natural languages and measure the effect of each individual characteristic on the digital word recognition process. To this end we create synthetic languages, for which all characteristics, except the one we examine, are identical, and measure the performance of two word recognition algorithms on synthetic documents of these languages. We examine and summarize the influence of the values of each characteristic on the performance of these word recognition methods.
| Original language | English |
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| Title of host publication | Proceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014 |
| Publisher | IEEE Computer Society |
| Pages | 131-135 |
| Number of pages | 5 |
| ISBN (Print) | 9781479932436 |
| DOIs | |
| State | Published - 1 Jan 2014 |
| Event | 11th IAPR International Workshop on Document Analysis Systems, DAS 2014 - Tours, France Duration: 7 Apr 2014 → 10 Apr 2014 |
Conference
| Conference | 11th IAPR International Workshop on Document Analysis Systems, DAS 2014 |
|---|---|
| Country/Territory | France |
| City | Tours |
| Period | 7/04/14 → 10/04/14 |
Keywords
- Degraded documents
- Natural language characteristics
- Orthographic neighborhood
- Word recognition
ASJC Scopus subject areas
- Software