Abstract
In this work, we propose a tool to scan a document-image acquired with a photophone or a digicam. Firstly, we try to reduce the noise in the document-image. Then we build a new image by cropping or by rectifying perspective the denoised one. From this step, we can expect the document to a real quadrangle. The new document is analyzed and we try to find images, logos or non text elements in the document-image by mean of an image segmentation. At this stage and if applicable, we provide two parts of the document image: the text part and the “non text” part of the document-image (images, logos ...). The text part of the document-image is enhanced by an original PDE’s based model that we proposed. The “non text” document is enhanced by classical methods such as retinex processing. Then, we merge both parts of the document image by a poisson image editing. The effectiveness and the robustness of the proposed process are shown on numerical examples in real-world situation (images acquired from photophones and digicams).
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El Rhabi, M., Hakim, A., Mahani, Z., Messou, K., Saoud, S. (2012). A Tool for Scanning Document-Images with a Photophone or a Digicam. In: Kim, Th., Ko, Ds., Vasilakos, T., Stoica, A., Abawajy, J. (eds) Computer Applications for Communication, Networking, and Digital Contents. FGCN 2012. Communications in Computer and Information Science, vol 350. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35594-3_45
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DOI: https://doi.org/10.1007/978-3-642-35594-3_45
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