Character-Like Region Verification for Extracting Text in Scene Images
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Automatic Character Location and Segmentation in Color Scene Images
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
ICDAR 2003 Robust Reading Competitions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Example-Based Machine Translation in the Pangloss system
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Image Restoration of Arbitrarily Warped Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Detection in Images Based on Unsupervised Classification of High-Frequency Wavelet Coefficients
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Scene Text Extraction in Natural Scene Images using Hierarchical Feature Combining and Verification
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Text Locating from Natural Scene Images Using Image Intensitie
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Camera Text Recognition based on Perspective Invariants
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Text detection and restoration in natural scene images
Journal of Visual Communication and Image Representation
A new binarization algorithm based on maximum gradient of histogram
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
An Efficient Edge Based Technique for Text Detection in Video Frames
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
A Gradient Difference Based Technique for Video Text Detection
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Scene Text Extraction Using Focus of Mobile Camera
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Extraction of Characters on Signboards in Natural Scene Images by Stump Classifiers
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
An algorithm for image binarization based on adaptive threshold
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
Scene text detection suitable for parallelizing on multi-core
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Text Detection using Multilayer Separation in Real Scene Images
CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Scene Text Extraction with Edge Constraint and Text Collinearity
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A method for text localization and recognition in real-world images
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Text localization in natural scene images by mean-shift clustering and parallel edge feature
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
ICDAR 2011 Robust Reading Competition Challenge 2: Reading Text in Scene Images
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Improving Scene Text Detection by Scale-Adaptive Segmentation and Weighted CRF Verification
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
The restoration of camera documents through image segmentation
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Recognizing natural scene characters by convolutional neural network and bimodal image enhancement
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
IEEE Transactions on Image Processing
Text String Detection From Natural Scenes by Structure-Based Partition and Grouping
IEEE Transactions on Image Processing
Detecting texts of arbitrary orientations in natural images
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Top-down and bottom-up cues for scene text recognition
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Real-time scene text localization and recognition
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
End-to-end scene text recognition
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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With the increasing popularity of portable camera devices and embedded visual processing, text extraction from natural scene images has become a key problem that is deemed to change our everyday lives via novel applications such as augmented reality. Text extraction from natural scene images algorithms is generally composed of the following three stages: (i) detection and localization, (ii) text enhancement and segmentation and (iii) optical character recognition (OCR). The problem is challenging in nature due to variations in the font size and color, text alignment, illumination change and reflections. This paper aims to classify and assess the latest algorithms. More specifically, we draw attention to studies on the first two steps in the extraction process, since OCR is a well-studied area where powerful algorithms already exist. This paper offers to the researchers a link to public image database for the algorithm assessment of text extraction from natural scene images.