Farzad Nadi - Department of Computer Engineering, Faculty of Engineering, Birjand University, Birjand, Iran
Javad Sadri - Department of Computer Engineering, Faculty of Engineering, Birjand University, Birjand, Iran
Atefeh Foroozandeh - Department of Computer Engineering, Faculty of Engineering, Birjand University, Birjand, Iran

In this paper, a new slant estimation/correction method for Persian handwritten digits and words is presented. Based on the presented method, first using original image and itsinversion, a new combined image is constructed. This new image has the same slant as the original image. So its slant is estimatedand considered as the slant of original image. Finally, using a shear transformation, the slant of the original image is corrected.The performance of the presented method has been tested usingseveral popular Persian/Arabic databases. Obtained experimental results and comparison with the other methods in the literature confirm that the presented method is accurate, and promising.

Slant estimation, Slant correction, Persian handwritten recognition, Handwritten digits, Handwritten words