|Perspective rectification of document images based on morphology|
|Ligang Miao; Silong Peng; Liang Miao
|Conference Name||2006 International Conference on Computational Intelligence and Security ICCIAS 2006
|Conference Place||中国Guangzhou China
|Abstract||Documents may suffer from perspective distortion
when captured with hand-held digital cameras. A
morphology based rectification method is proposed to
recoverfronto-parallel views ofperspectively distorted
documents images. Firstly we extend the nearestneighbor (NN) clustering technique in document skew
rectification to locate the horizontal vanishing point of
the text plane. Secondly we partition the image into
multiple overlapping blocks centered with the centroid
ofeach connected component (CC) andpropose a runlength opening algorithm (RLOA) to compute the local
orientation o vertical character stroke (VSB) which is
used to locate the document's vertical vanishing point.
Finally a three-step hierarchical rectification method
is proposed to rectify the distorted images. Experiment
results on various types of documents show that the
proposed rectification method has achieved accurate
recovery ofdocument images.|
|Corresponding Author||Liang Miao|
Ligang Miao,Silong Peng,Liang Miao. Perspective rectification of document images based on morphology[C],2007:pp 1805-1808.
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