I am happy to announce that the following paper has been accepted to the 11th International Conference on Computer Vision Theory and Applications (VISAPP) that will take place in Rome, Italy, on February 27 - 29, 2016: Towards the rectification of highly distorted texts Stefania Calarasanu (1), Séverine Dubuisson (2) and Jonathan Fabrizio (1) (1) LRDE-EPITA, 14-16, rue Voltaire, F-94276, Le Kremlin Bicêtre, France (2) CNRS, UMR 7222, ISIR, F-75005, Paris, France Abstract: A frequent challenge for many Text Understanding Systems is to tackle the variety of text characteristics in born-digital and natural scene images to which current OCRs are not well adapted. For example, texts in perspective are frequently present in real-word images, but despite the ability of some detectors to accurately localize such text objects, the recognition stage fails most of the time. Indeed, most OCRs are not designed to handle text strings in perspective but rather expect horizontal texts in a parallel-frontal plane to provide a correct transcription. In this paper, we propose a rectification procedure that can correct highly distorted texts, subject to rotation, shearing and perspective deformations. The method is based on an accurate estimation of the quadrangle bounding the deformed text in order to compute a homography to transform this quadrangle (and its content) into a horizontal rectangle. The rectification is validated on the dataset proposed during the ICDAR 2015 Competition on Scene Text Rectification. Ana Stefania Calarasanu ___________________________________________________ PhD Engineer EPITA Research and Development Laboratory (LRDE) 14-16 rue Voltaire, 94276 Le Kremlin-Bicêtre CEDEX, France https://www.lrde.epita.fr/wiki/User:Calarasanu