Text enhancement by PDE's based methods

Abstract : In this work, we propose a new method to enhance text in document-image. Firstly, we introduce a classical model and a way to solve it by means of a non-convex optimization problem. So, a simoultaneaous estimation of the reflectance and the luminance is obtained when the non uniform illumination (also called luminance) is a smooth function and the reflectance is a function of bounded variation. We give an analyse of this problem and some conditions of existence and unicity. Then, we consider the " log " of the classical model. A new pde's model is proposed. This method is based on the resolution of an original partial differential equation (PDE) estimating the log of the luminance. We assume that the luminance is enough smooth and is the solution of a non classical second order's PDE.Then we deduce the reflectance from the estimated luminance and the acquired image. The effectiveness and the robust-ness of the proposed process are shown on numerical examples in real-world situation (images acquired from cameraphones). Then, we illustrate the ability of this method to improve an Optical Character Recognition (OCR) in text recognition.
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Communication dans un congrès
Abderrahim Elmoataz, Driss Mammass, Olivier Lezoray, Fathallah Nouboud, Driss Aboutajdine. the 5th International Conference on Image and Signal Processing (ICISP 2012), Jun 2012, Agadir, Morocco. Springer, Lecture Notes in Computer Science 7340, Image and Signal Processing. 〈10.1007/978-3-642-31254-0_8〉
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Soumis le : lundi 11 juin 2018 - 16:31:19
Dernière modification le : mardi 12 juin 2018 - 01:13:02

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Zouhir Mahani, Jalal Zahid, Sahar Saoud, Mohammed El Rhabi, Abdelilah Hakim. Text enhancement by PDE's based methods. Abderrahim Elmoataz, Driss Mammass, Olivier Lezoray, Fathallah Nouboud, Driss Aboutajdine. the 5th International Conference on Image and Signal Processing (ICISP 2012), Jun 2012, Agadir, Morocco. Springer, Lecture Notes in Computer Science 7340, Image and Signal Processing. 〈10.1007/978-3-642-31254-0_8〉. 〈hal-01812659〉

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