Video Text Recognition Based on Markov Random Field and Grayscale Consistency Constraint
A method for segmenting and recognizing text embedded in video and images is proposed in this paper. In the method, multiple segmentation hypotheses of text image are first generated based on a MRF model. Background regions in each hypothesis are then removed by using grayscale consistency constraint (GCC) in a connected component analysis procudure before being processed by an optical character recognition (OCR) software.
- URL: http://publications.idiap.ch/downloads/reports/2002/rr-02-18.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/chen-0218
Record created on 2006-03-10, modified on 2016-08-08