Perspective Rectification in Farsi-Arabic Document Images
Arash Rashid Farokhi, Dorna Dehghan · 2015
Most of existing perspective rectification algorithms belong to Latin texts, due to special form of Farsi and Arabic writing. Here we introduce a fast rectification algorithm with high accuracy in Farsi/Arabic writing. First an adaptively local threshold extracts binary document image from the gray-scale image. Then by smearing technique, baselines are counted and borders of the document images are calculated. Finally perspectives of document images can be rectified by finding Horizontal and vertical vanishing points and transform them to infinity. Results can verify accuracy of our method.