Abstract
We present an efficient method for character skew rectification in scene text images. The method is based on a novel skew estimators, which exploit intuitive glyph properties and which can be efficiently computed in a linear time. The estimators are evaluated on a synthetically generated data (including Latin, Cyrillic, Greek, Runic scripts) and real scene text images, where the skew rectification by the proposed method improves the accuracy of a state-of-the-art scene text recognition pipeline.
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Acknowledgment
The authors were supported by the EU project MASELTOV (FP7-ICT-288587) and by the Czech Science Foundation Project GACR P103/12/G084. Lukáš would also like to acknowledge the support of the Google PhD Fellowship in Computer Vision and the Google Research Award.
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Bušta, M., Drtina, T., Helekal, D., Neumann, L., Matas, J. (2015). Efficient Character Skew Rectification in Scene Text Images. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9009. Springer, Cham. https://doi.org/10.1007/978-3-319-16631-5_10
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DOI: https://doi.org/10.1007/978-3-319-16631-5_10
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