Urdu Nastaleeq Nib Calligraphy Pattern Recognition

Mateen Ahmed Abbasi; Naila Fareen; Adnan Ahmed Abbasi

doi:doi:10.11648/j.ajnna.20200602.11

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Urdu Nastaleeq Nib Calligraphy Pattern Recognition

Mateen Ahmed Abbasi, Naila Fareen, Adnan Ahmed Abbasi

Published in American Journal of Neural Networks and Applications (Volume 6, Issue 2)

Received: 31 March 2020 Accepted: 10 April 2020 Published: 27 August 2020

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Abstract

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.

Published in	American Journal of Neural Networks and Applications (Volume 6, Issue 2)
DOI	10.11648/j.ajnna.20200602.11
Page(s)	16-21
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Nib Calligraphy, Optical Character Recognition, Pattern Recognition, Urdu Nastaleeq

References

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APA Style

Mateen Ahmed Abbasi, Naila Fareen, Adnan Ahmed Abbasi. (2020). Urdu Nastaleeq Nib Calligraphy Pattern Recognition. American Journal of Neural Networks and Applications, 6(2), 16-21. https://doi.org/10.11648/j.ajnna.20200602.11

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ACS Style

Mateen Ahmed Abbasi; Naila Fareen; Adnan Ahmed Abbasi. Urdu Nastaleeq Nib Calligraphy Pattern Recognition. Am. J. Neural Netw. Appl. 2020, 6(2), 16-21. doi: 10.11648/j.ajnna.20200602.11

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AMA Style

Mateen Ahmed Abbasi, Naila Fareen, Adnan Ahmed Abbasi. Urdu Nastaleeq Nib Calligraphy Pattern Recognition. Am J Neural Netw Appl. 2020;6(2):16-21. doi: 10.11648/j.ajnna.20200602.11

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@article{10.11648/j.ajnna.20200602.11,
  author = {Mateen Ahmed Abbasi and Naila Fareen and Adnan Ahmed Abbasi},
  title = {Urdu Nastaleeq Nib Calligraphy Pattern Recognition},
  journal = {American Journal of Neural Networks and Applications},
  volume = {6},
  number = {2},
  pages = {16-21},
  doi = {10.11648/j.ajnna.20200602.11},
  url = {https://doi.org/10.11648/j.ajnna.20200602.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20200602.11},
  abstract = {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.},
 year = {2020}
}

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TY  - JOUR
T1  - Urdu Nastaleeq Nib Calligraphy Pattern Recognition
AU  - Mateen Ahmed Abbasi
AU  - Naila Fareen
AU  - Adnan Ahmed Abbasi
Y1  - 2020/08/27
PY  - 2020
N1  - https://doi.org/10.11648/j.ajnna.20200602.11
DO  - 10.11648/j.ajnna.20200602.11
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 16
EP  - 21
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20200602.11
AB  - 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.
VL  - 6
IS  - 2
ER  -

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Author Information

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

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APA Style

Mateen Ahmed Abbasi, Naila Fareen, Adnan Ahmed Abbasi. (2020). Urdu Nastaleeq Nib Calligraphy Pattern Recognition. American Journal of Neural Networks and Applications, 6(2), 16-21. https://doi.org/10.11648/j.ajnna.20200602.11

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ACS Style

Mateen Ahmed Abbasi; Naila Fareen; Adnan Ahmed Abbasi. Urdu Nastaleeq Nib Calligraphy Pattern Recognition. Am. J. Neural Netw. Appl. 2020, 6(2), 16-21. doi: 10.11648/j.ajnna.20200602.11

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AMA Style

Mateen Ahmed Abbasi, Naila Fareen, Adnan Ahmed Abbasi. Urdu Nastaleeq Nib Calligraphy Pattern Recognition. Am J Neural Netw Appl. 2020;6(2):16-21. doi: 10.11648/j.ajnna.20200602.11

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@article{10.11648/j.ajnna.20200602.11,
  author = {Mateen Ahmed Abbasi and Naila Fareen and Adnan Ahmed Abbasi},
  title = {Urdu Nastaleeq Nib Calligraphy Pattern Recognition},
  journal = {American Journal of Neural Networks and Applications},
  volume = {6},
  number = {2},
  pages = {16-21},
  doi = {10.11648/j.ajnna.20200602.11},
  url = {https://doi.org/10.11648/j.ajnna.20200602.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnna.20200602.11},
  abstract = {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.},
 year = {2020}
}

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TY  - JOUR
T1  - Urdu Nastaleeq Nib Calligraphy Pattern Recognition
AU  - Mateen Ahmed Abbasi
AU  - Naila Fareen
AU  - Adnan Ahmed Abbasi
Y1  - 2020/08/27
PY  - 2020
N1  - https://doi.org/10.11648/j.ajnna.20200602.11
DO  - 10.11648/j.ajnna.20200602.11
T2  - American Journal of Neural Networks and Applications
JF  - American Journal of Neural Networks and Applications
JO  - American Journal of Neural Networks and Applications
SP  - 16
EP  - 21
PB  - Science Publishing Group
SN  - 2469-7419
UR  - https://doi.org/10.11648/j.ajnna.20200602.11
AB  - 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.
VL  - 6
IS  - 2
ER  -

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