Projection profile based ligature segmentation of Nastaleeq Urdu OCR
Urdu Nastaleeq is a highly cursive, context sensitive language, written diagonally from top right to bottom left. This makes it difficult to segment the partial word or a complete word into characters. Further due to stacking of characters, the segmentation at the character level is hard to perform. Some researchers have performed the segmentation and have succeeded to a good extent, but still some classes of Urdu alphabets have not been recognized yet. Moreover accuracy of segmentation is still less and has to be improved to develop Optical Character Recognition. We present a Novel approach of Projection Profile methodology for segmentation of Urdu Nastaleeq Ligature. The various challenges encountered during segmentation have been discussed in detail.
2016 4th International Symposium on Computational and Business Intelligence (ISCBI)