Multiple Hypotheses Video OCR

In this paper, we present a method to improve video OCR with multiple character hypotheses. The text regions in video need to be binarized before work as the input of current OCR system. Tranditional binarization do not use any structural information about the text. Based on a certain statistic model, we define a binarization method, which is called observation function, that should satisfy a certain condition. We then present a method to construct an observation function by computing binarization results according to multiple hypotheses of characters obtained by an OCR system.


Published in:
Proceedings of the 4th International Workshop on Document Analysis System
Presented at:
Proceedings of the 4th International Workshop on Document Analysis System
Year:
2000
Publisher:
Rio de Janeiro, Brazil
Keywords:
Note:
Published in Proceedings of the 4th International Workshop on Document Analysis System,
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 Record created 2006-03-10, last modified 2018-03-17

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