OCR Improvements for Images of Multi-page Historical Documents

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962457" target="_blank" >RIV/49777513:23520/21:43962457 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-87802-3_21" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-87802-3_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-87802-3_21" target="_blank" >10.1007/978-3-030-87802-3_21</a>

Result language
angličtina
Original language name
OCR Improvements for Images of Multi-page Historical Documents
Original language description
This work presents a pipeline for processing digitally scanned documents, reading their textual content, and storing it in a dataset for the purpose of information retrieval. The pipeline is able to handle images of various quality, whether they were obtained by a digital scanner or camera. The image can contain multiple pages in any layout, but an approximate upright orientation is assumed. The pipeline uses Faster R-CNN to detect individual pages. These are then processed by a deskew algorithm to correct the orientation, and finally read by the Tesseract OCR system that has been retrained on a large set of synthetic images and a small set of annotated real-world documents. By applying the pipeline, we were able to increase the word recall to 60.56% which is an absolute gain of 19.19% from the baseline solution that uses only Tesseract OCR. A demo of the proposed pipeline can be found at https://archivkgb.zcu.cz/.
Czech name
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Czech description
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Project
<a href="/en/project/DG20P02OVV018" target="_blank" >DG20P02OVV018: Digital archive of the NKVD/KGB files related to Czechoslovakia</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27–30, 2021, Proceedings
ISBN
978-3-030-87801-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
226-237
Publisher name
Springer
Place of publication
Cham
Event location
St. Petersburg, Russia
Event date
Sep 27, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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