Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICDAR 2003 Robust Reading Competitions
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Character-Stroke Detection for Text-Localization and Extraction
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Extraction of Text Objects in Video Documents: Recent Progress
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Text Detection Using Edge Gradient and Graph Spectrum
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Scene Text Extraction with Edge Constraint and Text Collinearity
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Visual Attention Based Approach to Text Extraction
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A real-time scene text to speech system
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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Extracting text objects from scene images is a challenging problem. In this paper, by investigating the properties of single characters and text objects, we propose a new text extraction approach for scene images. First, character energy is computed based on the similarity of stroke edges to detect candidate character regions, then link energy is calculated based on the spatial relationship and similarity between neighboring candidate character regions to group characters and eliminate false positives. We applied the approach on ICDAR dataset 2003. The experimental results demonstrate the validity of our method.