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Proceedings Paper

Location and recovery of text on oriented surfaces
Author(s): Paul Clark; Majid Mirmehdi
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Paper 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.

Paper Details

Date Published: 22 December 1999
PDF: 11 pages
Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373502
Show Author Affiliations
Paul Clark, Univ. of Bristol (United Kingdom)
Majid Mirmehdi, Univ. of Bristol (United Kingdom)


Published in SPIE Proceedings Vol. 3967:
Document Recognition and Retrieval VII
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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