Care Label Recognition

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00337611" target="_blank" >RIV/68407700:21230/19:00337611 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICDAR.2019.00158" target="_blank" >http://dx.doi.org/10.1109/ICDAR.2019.00158</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICDAR.2019.00158" target="_blank" >10.1109/ICDAR.2019.00158</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Care Label Recognition

Popis výsledku v původním jazyce

The paper introduces the problem of care label recognition and presents a method addressing it. A care label,also called a care tag, is a small piece of cloth or paper attached to a garment providing instructions for its maintenance and information about e.g. the material and size. The information and instructions are written as symbols or plain text.Care label recognition is a challenging text and pictogram recognition problem – the often sewn text is small, looking as if printed using a non-standard font; the contrast of the text gradually fades, making OCR progressively more difficult. On the other hand, the information provided is typically redundant and thus it facilitates semi-supervised learning.The presented care label recognition method is based on the recently published End-to-End Method for Multi-Language Scene Text, E2E-MLT, Busta et al. 2018, exploiting specific constraints, e.g. a care label vocabulary with multi-language equivalences.Experiments conducted on a newly-created dataset of 63care label images show that even when exploiting problem-specific constraints, a state-of-the-art scene text detection and recognition method achieve precision and recall slightly above0.6, confirming the challenging nature of the problem.

Název v anglickém jazyce

Care Label Recognition

Popis výsledku anglicky

The paper introduces the problem of care label recognition and presents a method addressing it. A care label,also called a care tag, is a small piece of cloth or paper attached to a garment providing instructions for its maintenance and information about e.g. the material and size. The information and instructions are written as symbols or plain text.Care label recognition is a challenging text and pictogram recognition problem – the often sewn text is small, looking as if printed using a non-standard font; the contrast of the text gradually fades, making OCR progressively more difficult. On the other hand, the information provided is typically redundant and thus it facilitates semi-supervised learning.The presented care label recognition method is based on the recently published End-to-End Method for Multi-Language Scene Text, E2E-MLT, Busta et al. 2018, exploiting specific constraints, e.g. a care label vocabulary with multi-language equivalences.Experiments conducted on a newly-created dataset of 63care label images show that even when exploiting problem-specific constraints, a state-of-the-art scene text detection and recognition method achieve precision and recall slightly above0.6, confirming the challenging nature of the problem.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ICDAR2019: Proceedings of the 15th IAPR International Conference on Document Analysis and Recognition

ISBN

978-1-7281-3015-6

ISSN

1520-5363

e-ISSN

2379-2140

Počet stran výsledku

8

Strana od-do

959-966

Název nakladatele

IEEE

Místo vydání

Piscataway, NJ

Místo konání akce

Sydney

Datum konání akce

20. 9. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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