Illumination for computer generated pictures
Communications of the ACM
Digital Color Imaging Handbook
Digital Color Imaging Handbook
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Color Text Extraction from Camera-based Images the Impact of the Choice of the Clustering Distance
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Robust Algorithm for Text Detection in Color Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Text detection and segmentation in complex color images
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
An embedded application for degraded text recognition
EURASIP Journal on Applied Signal Processing
Generalized selection weighted vector filters
EURASIP Journal on Applied Signal Processing
Scene text detection suitable for parallelizing on multi-core
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Text detection in images using sparse representation with discriminative dictionaries
Image and Vision Computing
Text locating in scene images for reading and navigation aids for visually impaired persons
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
Scene text extraction using modified cylindrical distance
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
An algorithm for colour-based natural scene text segmentation
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
MAPS: midline analysis and propagation of segmentation
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Integrating multiple character proposals for robust scene text extraction
Image and Vision Computing
Learning to discriminate text from synthetic data
Robot Soccer World Cup XV
A framework for improved video text detection and recognition
Multimedia Tools and Applications
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Natural scene images usually contain varying colors which make segmentation more difficult. Without any a priori knowledge of degradations and based on physical light reflectance, we propose a selective metric-based clustering to extract textual information in real-world images. The proposed method uses several metrics to merge similar color together for an efficient text-driven segmentation in the RGB color space. However, color information by itself is not sufficient to solve all natural scene issues; hence we complement it with intensity and spatial information obtained using Log-Gabor filters, thus enabling the processing of character segmentation into individual components to increase final recognition rates. Hence, our selective metric-based clustering is integrated into a dynamic method suitable for text extraction and character segmentation. Quantitative results on a public database are presented to assess the efficiency and the complementarity of metrics, together with the importance of a dynamic system for natural scene text extraction. Finally running time is detailed to show the usability of our method.