Abstract
Taking high resolution photos with mobile devices anytime anywhere is becoming increasingly common. Therefore, images of all kinds of text documents are recorded. This work presents esCam, an application for Android platform, whose goal is to preprocess the images of those text documents, in particular, perspective correction and image cleaning and enhancing. What truly differentiates our application is that esCam focuses on treatment of text that may appear in the image, using neural networks. These preprocessing steps are needed to make easier the digitalization and also to benefit subsequent steps such as document analysis and text recognition.
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Pastor-Pellicer, J., Castro-Bleda, M.J., Adelantado-Torres, J.L. (2015). esCam: A Mobile Application to Capture and Enhance Text Images. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9095. Springer, Cham. https://doi.org/10.1007/978-3-319-19222-2_50
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DOI: https://doi.org/10.1007/978-3-319-19222-2_50
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