ICDAR 2013 Robust Reading Competition

LanguageEnglish
TypeProceedings of International Conferences
AuthorsDimosthenis Karatzas, Faisal Shafait, Seiichi Uchida, Masakazu Iwamura, Lluis Gomez i Bigorda, Sergi Robles Mestre, Joan Mas, David Fernandez Mota, Jon Almazan Almazan, Lluis Pere de las Heras
TitleICDAR 2013 Robust Reading Competition
JournalProc. 12th International Conference on Document Analysis and Recognition (ICDAR 2013)
Pagespp.1115-1124
LocationWashington, DC, USA
ReviewedReviewed
Presentation typeOral
DateAugust 2013
Research fieldsDocument Image Analysis, Pattern recognition
DOI10.1109/ICDAR.2013.221
KeyKaratzas2013 (id=1352)

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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