American Journal of Neural Networks and Applications
Volume 6, Issue 2, December 2020, Pages: 16-21
Received: Mar. 31, 2020;
Accepted: Apr. 10, 2020;
Published: Aug. 27, 2020
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Mateen Ahmed Abbasi, Engineering and Information Technology, Khwaja Fareed University, Rahimyar Khan, Pakistan
Naila Fareen, Department of Computer Science, Allama Iqbal Open University, Islamabad, Pakistan
Adnan Ahmed Abbasi, Department of Management Science, Alhamd Islamic University, Islamabad, Pakistan
Nib calligraphy pattern recognition is the way to convert handwritten nib font into its equivalent machine understandable or readable form. Nib calligraphy pattern recognition is derived from pattern recognition and computer vision, a variety of work has been done on Urdu literature and on Urdu handwritten automatic line segmentation. This research work is based on Urdu Nastaleeq Nib calligraphy pattern recognition. The width of the Qalam (Nib) makes difficulties in recognition due to different width of qalam pattern varieties, so there is dire need to develop a system that can recognize the digitized image of Urdu Nastaleeq Nib font with high accuracy. The objective of this research is to create a ground for the development of an efficient and robust Urdu Optical Character Recognition (OCR) for Urdu Nastaleeq nib pattern recognition and to develop a system that can recognize the digitized image of Urdu Nastaleeq Nib font with high accuracy. Urdu Nastaleeq nib pattern recognition. The research work mainly focuses on identifying the Urdu nib calligraphy pattern recognition. The purpose of the research is to create a system for Urdu Nastaleeq Nib calligraphy pattern recognition to get benefit from the cultural heritage of Nib calligraphic material. The Urdu Nastaleeq Nib Calligraphy Pattern Recognition research work is proposed to be done on the calligraphic Urdu Nastaleeq Nib pattern recognition. This research mainly focuses on recognizing the handwritten Urdu Nastaleeq Nib typeset and eliminating the noise which is the main difficulty in interpretation the font clearly. The aim here is to build up a more consistent, correct and precise system for Urdu Nastaleeq Nib calligraphy Pattern Recognition.
Mateen Ahmed Abbasi,
Adnan Ahmed Abbasi,
Urdu Nastaleeq Nib Calligraphy Pattern Recognition, American Journal of Neural Networks and Applications.
Vol. 6, No. 2,
2020, pp. 16-21.
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