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Reliable and generic methods for skew detection are a necessity for any large-scale digitization projects. As one of the first processing steps, skew detection and correction has a heavy influence on all further document analysis modules, such as geometric and logical layout analysis. This paper introduces a generic, scale-independent algorithm capable of accurately detecting the global skew angle...
Scanned document images are nowadays becoming available in increasingly higher resolutions. Meanwhile, the variations in image quality within typical document collections increase due to images coming from different scan service providers, time periods or digitization methods. Binarization is a crucial first step for many document analysis algorithms. Adaptive thresholding algorithms have been shown...
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automatic segmentation of the document stream into issues heavily influence the overall output quality of a document image analysis system. As a solution to the issue segmentation problem, this paper introduces a robust, two-step...
This paper develops a flexible price, two-sector nominal growth model, to study the nominal effect of capital accumulation (nominal and real convergence). The authors adopt a classical model of a small open economy with traded and non-traded goods, and enrich its structure with gradual investment and a preference for real money holdings. The modelling framework gives the following results. (1) The...
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