An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247263" target="_blank" >RIV/61989100:27240/20:10247263 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/20:10247263
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-030-63924-2_26.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-030-63924-2_26.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63924-2_26" target="_blank" >10.1007/978-3-030-63924-2_26</a>
Alternative languages
Result language
angličtina
Original language name
An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting
Original language description
OCR post-processing is an essential step to improve the accuracy of OCR-generated texts by detecting and correcting OCR errors. In this paper, the OCR texts are resulted from an OCR engine which is based on the attention-based encoder-decoder model for unconstrained Vietnamese handwriting. We identify various kinds of Vietnamese OCR errors and their possible causes. Detailed statistics of Vietnamese OCR errors are provided and analyzed at both character level and syllable level, using typical OCR error characteristics such as error rate, error mapping/edit, frequency and error length. Furthermore, the statistical analyses are done on training and test sets of a benchmark database to infer whether the test set is the appropriate representative of the training set regarding the OCR error characteristics. We also discuss the choice of designing OCR post-processing approaches at character level or at syllable level relying on provided statistics of studied datasets. (C) 2020, Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12466
ISBN
978-3-030-63923-5
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
448-461
Publisher name
Springer
Place of publication
Cham
Event location
Quy Nhon
Event date
Nov 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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