Automated text detection and character recognition in natural scenes based on local image features and contour processing techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10239792" target="_blank" >RIV/61989100:27240/18:10239792 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-73888-8_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-73888-8_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-73888-8_8" target="_blank" >10.1007/978-3-319-73888-8_8</a>
Alternative languages
Result language
angličtina
Original language name
Automated text detection and character recognition in natural scenes based on local image features and contour processing techniques
Original language description
A novel effective scheme for automated text detection and character recognition in natural scene images is presented in the paper. The proposed text detection approach belongs to the category of connected component-based methods utilizing Maximally Stable Extremal Regions (MSER) feature detector. Various literature based geometrical and contour oriented filters, used to distinguish between text and non-text MSER regions as well as to group remaining text regions into words and phrases, are applied first. Novel filters, designed to reject remaining non-text regions and words (phrases) that are not in line with assumed properties, are utilized next. Final words and phrases are recognized using an OCR system. Finally, an application of the presented approach within the IMCOP content discovery and delivery platform is briefly described. (C) Springer International Publishing AG 2018.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 722
ISBN
978-3-319-73887-1
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
7
Pages from-to
42-48
Publisher name
Springer
Place of publication
Cham
Event location
Dubaj
Event date
Jan 7, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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