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In document image recognition, orientation detection of the scanned page is necessary for the following procedures to work correctly as they assume that the text is well oriented. Several methods have been proposed, but most of them rely on heuristics of the script such as the graphical asymmetry between ascenders and descenders for Roman script. The literature shows that as soon as this assumption...
In this paper, we evaluate different early stopping rules (ESR) and their combinations for stopping the training of multi layer perceptrons (MLP) using the stochastic gradient descent, also known as online error backpropagation, before reaching a predefined maximum number of epochs. We focused our evaluation to classification tasks, as most of the works use MLP for classification instead of regression...
This paper presents the XML-based formats ALTO, TEI, METS used for digital libraries and their interest for data representation in a document image analysis and recognition (DIAR) process. In the first part we briefly present these formats with focus on their adequacy for structural representation and modeling of DIAR data. The second part shows how these formats can be used in a reverse engineering...
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