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Care Label Recognition

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Care Label Recognition

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • Number of pages

    8

  • Pages from-to

    959-966

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, NJ

  • Event location

    Sydney

  • Event date

    Sep 20, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article