22 December 1999 Location and recovery of text on oriented surfaces
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Proceedings Volume 3967, Document Recognition and Retrieval VII; (1999); doi: 10.1117/12.373502
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
We present a method for extracting text from images where the text plane is not necessarily fronto-parallel to the camera. Initially, we locate local image features such as borders and page edges. We then use perceptual grouping on these features to find rectangular regions in the scene. These regions are hypothesized to be pages or planes that may contain text. Edge distributions are then used for the assessment of these potential regions, providing a measure of confidence. It will be shown that the text may then be transformed to a fronto- parallel view suitable, for example, for an OCR system or other higher level recognition. The proposed method is scale independent (of the size of the text). We illustrate the algorithm using various examples.
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Paul Clark, Majid Mirmehdi, "Location and recovery of text on oriented surfaces", Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373502; http://dx.doi.org/10.1117/12.373502
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Cameras

Visualization

Optical character recognition

Hough transforms

Image segmentation

Image processing

3D image processing

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