Abstract
We present a method based on statistical properties of local image pixels for focussing attention on regions of text in arbitrary scenes where the text plane is not necessarily fronto-parallel to the camera. This is particularly useful for Desktop or Wearable Computing applications. The statistical measures are cho sen to reveal charactersitic properties of text. We combine a number of localised measures using a neural network to classify each pixel as text or non-text. We demonstrate our results on typical images.
| Translated title of the contribution | Combining Statistical Measures to Find Image Text Regions |
|---|---|
| Original language | English |
| Pages (from-to) | 450-453 |
| Journal | Proceedings of the 15th International Conference on Pattern Recognition |
| Publication status | Published - 2000 |
Bibliographical note
ISBN: 0796507506Publisher: IEEE Computer Society
Name and Venue of Conference: Proceedings of the 15th International Conference on Pattern Recognition
Other identifier: 1000508
Fingerprint
Dive into the research topics of 'Combining Statistical Measures to Find Image Text Regions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver