Resolution Enhancement for Low-resolution Text Images Using Generative Adversarial Network
Resolution Enhancement for Low-resolution Text Images Using Generative Adversarial Network
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Publisher
Les Ulis: EDP Sciences
Journal title
Language
English
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Publisher
Les Ulis: EDP Sciences
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Scope and Contents
Contents
In recent years, although Optical Character Recognition (OCR) has made considerable progress, low-resolution text images commonly appearing in many scenarios may still cause errors in recognition. For this problem, the technique of Generative Adversarial Network in super-resolution processing is applied to enhance the resolution of low-quality text...
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Full title
Resolution Enhancement for Low-resolution Text Images Using Generative Adversarial Network
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d31979fb2442453da61f0ff8c3de825c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d31979fb2442453da61f0ff8c3de825c
Other Identifiers
ISSN
2261-236X,2274-7214
E-ISSN
2261-236X
DOI
10.1051/matecconf/201824603040
