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|
|Journal||Proceedings of the 15th International Conference on Pattern Recognition|
|Publication status||Published - 2000|
Bibliographical noteISBN: 0796507506
Publisher: IEEE Computer Society
Name and Venue of Conference: Proceedings of the 15th International Conference on Pattern Recognition
Other identifier: 1000508