A New Method of Contrast Normalization for Verification of Extracted Video Text Having Complex Backgrounds
| Type of publication: | Idiap-RR |
| Citation: | chen-rr0216 |
| Number: | Idiap-RR-16-2002 |
| Year: | 2002 |
| Month: | 4 |
| Institution: | IDIAP |
| Abstract: | One of the difficulties of extracting text contained in images or videos comes from the variation of the grayscale values of the text and backgrounds. In this paper we propose a new method to normalize the contrast between text characters and backgrounds so that a trained machine learning tool can verify characters of grayscale values that have never been seen before. Experiments show that the proposed method used in training either a multilayer perceptrons or a support vector machine yields better text verification comparing with other typical contrast measures. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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