ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images

Recognition of text in natural scene images is becoming a prominent research area due to the widespread availablity of imaging devices in low-cost consumer products like mobile phones. To evaluate the performance of recent algorithms in detecting and recognizing text from complex images, the ICDAR 2...

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Bibliographic Details
Published in2011 International Conference on Document Analysis and Recognition pp. 1491 - 1496
Main Authors Shahab, A., Shafait, F., Dengel, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Character recognition
Feature extraction
Image edge detection
Image segmentation
natural images
Robustness
Scene text detection
Text recognition
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ISBN1457713500
9781457713507
ISSN1520-5363
DOI10.1109/ICDAR.2011.296

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Summary:Recognition of text in natural scene images is becoming a prominent research area due to the widespread availablity of imaging devices in low-cost consumer products like mobile phones. To evaluate the performance of recent algorithms in detecting and recognizing text from complex images, the ICDAR 2011 Robust Reading Competition was organized. Challenge 2 of the competition dealt specifically with detecting/recognizing text in natural scene images. This paper presents an overview of the approaches that the participants used, the evaluation measure, and the dataset used in the Challenge 2 of the contest. We also report the performance of all participating methods for text localization and word recognition tasks and compare their results using standard methods of area precision/recall and edit distance.
ISBN:1457713500
9781457713507
ISSN:1520-5363
DOI:10.1109/ICDAR.2011.296