A New Method for Text-Line Segmentation for Warped Documents

摘要

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 Avila-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.