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This paper proposes a new approach to water flow algorithm for the text line segmentation. Original method assumes hypothetical water flows under few specified angles to the document image frame from left to right and vice versa. As a result, unwetted image frames are extracted. These areas are of major importance for text line segmentation. Method modifications mean extension values of water flow...
Script recognition is a necessary process before OCR algorithm in multilingual systems. In this paper, a novel method is proposed for identifying Farsi and Latin scripts in bilingual document using curvature scale space features. The proposed features are rotation and scale invariant and can be used to identify scripts with different fonts. We assumed that the bilingual scripts may have Farsi and...
This paper discusses the problem of object area detection of video frames. The goal is to design a pixel accurate detector for grass, which could be used for object adaptive video enhancement. A boosting neural network is used for creating such a detector. The resulted detector uses both textural features and color features of the frames.
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