Abstract
Bound documents either scanned or captured with digital cameras often present a geometrical warp that makes text-lines curled. The identification of text-lines is one of the steps for document de-warping when only a single image is available. This paper presents a new method for text-line segmentation. It is based on a simple, but effective, skew detector proposed by Ávila-Lins and simplifies the idea of coupled snakes introduced by Bukhari to a moving parallel line regression. The proposed method performed better than the best of the similar algorithms in the literature.
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Oliveira, D.M., Lins, R.D., Torreão, G., Fan, J., Thielo, M. (2010). A New Method for Text-Line Segmentation for Warped Documents. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_40
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DOI: https://doi.org/10.1007/978-3-642-13775-4_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13774-7
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