Segmentation Based Recovery of Arbitrarily Warped Document Images
wanghaisheng opened this issue · 2 comments
摘要：
Non-linear warping appears in document images
when captured by a digital camera or a scanner,
especially in the case that these documents are
digitized bounded volumes. Arbitrarily warped
documents may have several slope changes along the
text lines as well as along the words of the same text
line. In this paper, a novel segmentation based
technique for efficient restoration of arbitrarily warped
document images is presented. The proposed technique
recovers the documents relying upon (i) text lines and
words detection using a novel segmentation technique
appropriate for warped documents, (ii) a first draft
binary image de-warping based on word rotation and
translation according to upper and lower word
baselines, and (iii) a recovery of the original warped
image guided by the draft binary image de-warping
result. Experimental results on several arbitrarily
warped documents prove the effectiveness of the
proposed technique.