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Text Localization and Extraction from Still Images using Fast Bounding Box Algorithm
Text Extraction and Localization from images is a very challenging task because of noise, blurriness and complex color background of the images. Digital Images are subjected to blurring due to many hardware limitations such as atmospheric disturbance, device noise and poor focus quality. In order to remove textual information from images it is necessary to remove blurriness and restore the image for the text extraction. Thus in this paper Fast Bounding Box algorithm is applied for localization and extraction of the text from images in an efficient manner by dividing the image into two halves and then find the dissimilar region i.e. text.
Keywords
Fast Bounding Box, ROI, Bhattacharya Coefficient, Precision, Recall and F-Measure.
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