Text Detection and Recognition

Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after k-means segmentation.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.
Text detection before filtering rectangles.	Text detection after filtering rectangles.	Text region after k-means segmentation.	Text region after binarization.

Collaborations

Sabine Süsstrunk
Olivier Küng

Funding

This work is supported by National Competence Center in Research on Mobile Information and Communication Systems (NCCR-MICS), a center supported by the Swiss National Science Foundation under grant number 5005-67322, and by K-Space, the European Network of Excellence in Knowledge Space of semantic inference for automatic annotation and retrieval of multimedia content.