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ICDAR 2013 Robust Reading Competition

Published: 25 August 2013 Publication History

Abstract

This report presents the final results of the ICDAR 2013 Robust Reading Competition. The competition is structured in three Challenges addressing text extraction in different application domains, namely born-digital images, real scene images and real-scene videos. The Challenges are organised around specific tasks covering text localisation, text segmentation and word recognition. The competition took place in the first quarter of 2013, and received a total of 42 submissions over the different tasks offered. This report describes the datasets and ground truth specification, details the performance evaluation protocols used and presents the final results along with a brief summary of the participating methods.

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cover image Guide Proceedings
ICDAR '13: Proceedings of the 2013 12th International Conference on Document Analysis and Recognition
August 2013
1441 pages
ISBN:9780769549996

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IEEE Computer Society

United States

Publication History

Published: 25 August 2013

Author Tags

  1. robust reading
  2. scene text
  3. text extraction
  4. text localization
  5. text recognition
  6. text segmentation
  7. video

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  • (2024)A Study of Text Extraction Algorithms for Natural Scene ImagesSN Computer Science10.1007/s42979-024-03068-w5:6Online publication date: 29-Jul-2024
  • (2024)Scene text image super-resolution via textual reasoning and multiscale cross-convolutionApplied Intelligence10.1007/s10489-023-05251-754:2(1997-2008)Online publication date: 1-Jan-2024
  • (2024)A pseudo-color image-based cylindrical object surface text detection methodThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-03190-540:9(6639-6654)Online publication date: 1-Sep-2024
  • (2024)Counting the Corner Cases: Revisiting Robust Reading Challenge Data Sets, Evaluation Protocols, and MetricsDocument Analysis and Recognition - ICDAR 202410.1007/978-3-031-70546-5_19(324-342)Online publication date: 30-Aug-2024
  • (2023)Linguistic moreProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence10.24963/ijcai.2023/189(1704-1712)Online publication date: 19-Aug-2023
  • (2023)TrOCRProceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v37i11.26538(13094-13102)Online publication date: 7-Feb-2023
  • (2023)Deep Learning Based Automated Electronic Meter Reading System using YOLOv5 ArchitectureProceedings of the 2023 International Conference on Big Data Mining and Information Processing10.1145/3645279.3645288(45-53)Online publication date: 17-Nov-2023
  • (2023)Reading Scene Text with Aggregated Temporal Convolutional EncoderACM Transactions on Asian and Low-Resource Language Information Processing10.1145/362582222:11(1-16)Online publication date: 12-Oct-2023
  • (2023)VTLayout: A Multi-Modal Approach for Video Text LayoutProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611870(2775-2784)Online publication date: 26-Oct-2023
  • (2023)Fine-grained Pseudo Labels for Scene Text RecognitionProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3611791(5786-5795)Online publication date: 26-Oct-2023
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