Urdu Nastalique

The performance of most of the classification models is dependent on the data used for training. The data must be reliable, robust and meticulously labelled. In order to form such a data a systematical approach has been designed and moreover, it should be. The data set was collected from a well-known source, namely Center for Language Engineering available at http://www.cle.org.pk. The corpus available on the website used for prediction contains Urdu Naskh data having 4,325 number of lines and 1, 22284 words. This corpus contains three text files. The mentioned corpus is converted into Jameel Noori Urdu Nastalique font style having 4,325 number of lines and 1, 22284 words. Due to context sensitive nature of Urdu Nastalique it poses several challenges. The mentioned corpus text is converted into images because in OCR systems ligature segmentation and line segmentation of images is itself a challenging task.