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Text-line skew detection and correction is the first step in Arabic document recognition and analysis. It is a crucial pre-processing stage of Arabic Character Recognition (ACR). It has a direct effect on the dependability and efficiency of other system stages such as baseline detection, segmentation and feature extraction stages. In this paper an efficient skew detection and correction method for...
Text localization is important for image-based text analysis and has been intensively studied in the last decade. Even though several metrics have been proposed, developing a general performance evaluation metric according to the nature of text localization task is still an open problem. This paper presents an empirical study on several representative performance evaluation metrics by formulating...
This paper describes application-oriented text localization and character segmentation in images. Target texts in our application are often damaged by lots of various noise and, as a result, there are many unclear characters. Therefore, some special treatments are necessary to recognize these texts. In this paper, new optimized text localization and character segmentation algorithms are proposed....
There are still some shortcomings in the existing traditional location algorithm, so we focus on the improvement of the algorithm through the unique characteristics of video images, like edge, gradient, etc. First, we can determine which are the caption frames according to the region gradient value, then use the method of re-projection to locate the subtitles region on the basis of caption frames...
A text line extraction method is presented for multi-skewed handwritten document images. First the whole document image is divided into several sub-images with overlapped area, then for every sub-image, it assumes that hypothetical water flows, from both left and right sides of the image frame, face obstruction from characters of text lines. The stripes of areas left unwetted on the sub-images are...
Classification from text/graphics images is an important procedure for automatic digitization of documents. Based on the shapes in the basis image, the asymmetrical filters are developed in this paper. By filtering with the asymmetrical filters, the horizontal, vertical, and inclined edgespsila information are fetched from the input image. With applying a classified algorithm, the input image can...
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