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Communication Dans Un Congrès Année : 2019

New Gamma Correction Method for real time image text extraction

Résumé

Text extraction and character recognition in manuscripts are a very important part of image processing and pattern recognition. The recently proposed Gamma Correction Method (GCM) is a popular method used in the processing of a color image and in particular in the extraction of text from a complex image. However, The GCM consumes a lot of time to extract the text and this is because of the complex calculations of different operations in the different blocks of GCM which is not suitable to real-time applications. In this paper, we propose an efficient Gamma Correction Method acceleration. Our proposal allows to minimize the GCM execution time while ensuring the same reliability of the initial version. The experimental results show an important optimization compared to the literature.
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Dates et versions

hal-02293895 , version 1 (22-09-2019)

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Mohamed Amin Ben Atitallah, Rostom Kachouri, Ahmed Ben Atitallah, Hassene Mnif. New Gamma Correction Method for real time image text extraction. 9th International Conference on Image Processing Theory, Tools and Applications (IPTA 2019), Nov 2019, Istanbul, Turkey. pp.1-6, ⟨10.1109/IPTA.2019.8936103⟩. ⟨hal-02293895⟩
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