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Handwritten text recognition has been an active research area for many years. Handwritten text recognition needs to perform some preprocessing steps for better recognition. First, we find binary image of given handwritten text document and then after performing the line segmentation task, we normalize it to the segmented lines. There are various normalization tasks such as skew normalization, slant...
An automatic text recognizer needs, in first place, to localize the text in the image the more accurately possible. For this purpose, we present in this paper a robust method for text detection. It is composed of three main stages: a segmentation stage to find character candidates, a connected component analysis based on fast-to-compute but robust features to accept characters and discard non-text...
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