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 [BibTeX] [Marc21]
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},
Projects Idiap
Authors Chen, Datong
Odobez, Jean-Marc
Added by: [UNK]
Total mark: 0
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