Transfer Learning for OCRopus Model Training on Early Printed Books
A method is presented that significantly reduces the character error rates for OCR text obtained from OCRopus models trained on early printed books when only small amounts of diplomatic transcriptions are available. This is achieved by building from already existing models during training instead of...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | deu |
| Published: |
Self-published via PubPub
2017-12-01
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| Series: | 027.7 : Zeitschrift für Bibliothekskultur |