Video Text Recognition Based on Markov Random Field and Grayscale Consistency Constraint
| Type of publication: | Conference paper |
| Citation: | chen-icip02 |
| Booktitle: | Int. Conf. Image Processing 2002 |
| Year: | 2002 |
| Address: | Rochester, NY, USA |
| Crossref: | chen-0218: |
| Abstract: | 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. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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