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- W2540420329 abstract "Detecting texts of multiorientation has been studied for long, yet it remains a challenging task because of the complex background and diversity of texts. For the results to be accurate, it will make use of a classification scheme using random forest classifier. Text detection becomes more challenging if the input image is a blurred one. So we make use of a blind image deblurring method for image deblurring and thus text can be detected more effectively in the deblurred image." @default.
- W2540420329 created "2016-11-04" @default.
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- W2540420329 date "2015-12-01" @default.
- W2540420329 modified "2023-09-27" @default.
- W2540420329 title "Detection of multioriented texts in natural scene images" @default.
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- W2540420329 doi "https://doi.org/10.1109/iccicct.2015.7475353" @default.
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