| Urdu Nastaliq recognition using convolutional–recursive deep learning S Naz, AI Umar, R Ahmad, I Siddiqi, SB Ahmed, MI Razzak, F Shafait Neurocomputing 243, 80-87, 2017 | 123 | 2017 |
| Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, I Siddiqi, MI Razzak Neurocomputing 177, 228-241, 2016 | 91 | 2016 |
| Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features S Naz, AI Umar, R Ahmad, SB Ahmed, SH Shirazi, MI Razzak Neural computing and applications 28, 219-231, 2017 | 80 | 2017 |
| Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks S Naz, AI Umar, R Ahmed, MI Razzak, SF Rashid, F Shafait SpringerPlus 5, 1-16, 2016 | 56 | 2016 |
| Zoning features and 2DLSTM for Urdu text-line recognition S Naz, SB Ahmed, R Ahmad, MI Razzak Procedia Computer Science 96, 16-22, 2016 | 42 | 2016 |
| KPTI: Katib's Pashto Text Imagebase and Deep Learning Benchmark R Ahmad, MZ Afzal, SF Rashid, M Liwicki, T Breuel, A Dengel 2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016 | 36 | 2016 |
| Scale and rotation invariant recognition of cursive Pashto script using SIFT features R Ahmad, SH Amin, MAU Khan 2010 6th International Conference on Emerging Technologies (ICET), 299-303, 2010 | 32 | 2010 |
| A deep learning based arabic script recognition system: benchmark on KHAT. R Ahmad, S Naz, MZ Afzal, SF Rashid, M Liwicki, A Dengel Int. Arab J. Inf. Technol. 17 (3), 299-305, 2020 | 31 | 2020 |
| Scale and rotation invariant OCR for Pashto cursive script using MDLSTM network R Ahmad, MZ Afzal, SF Rashid, M Liwicki, T Breuel 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 31 | 2015 |
| Robust optical recognition of cursive Pashto script using scale, rotation and location invariant approach R Ahmad, S Naz, MZ Afzal, SH Amin, T Breuel PloS one 10 (9), e0133648, 2015 | 25 | 2015 |
| Efficient skew detection and correction in scanned document images through clustering of probabilistic hough transforms R Ahmad, S Naz, I Razzak Pattern recognition letters 152, 93-99, 2021 | 24 | 2021 |
| Khatt: A deep learning benchmark on arabic script R Ahmad, S Naz, MZ Afzal, SF Rashid, M Liwicki, A Dengel 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 23 | 2017 |
| A novel skew detection and correction approach for scanned documents R Ahmad, SF Rashid, MZ Afzal, M Liwicki, A Dengel, T Breuel Proc. 12th Int. IAPR Workshop Document Anal. Syst.(DAS), 2, 2016 | 18 | 2016 |
| Arabic script based digit recognition systems S Naz, S Ahmed, R Ahmad, M Razza International Conference on Recent Advances in Computer Systems, 67-73, 2015 | 18 | 2015 |
| Recognizable units in Pashto language for OCR R Ahmad, MZ Afzal, SF Rashid, M Liwicki, A Dengel, T Breuel 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 17 | 2015 |
| A deep learning approach for diabetic foot ulcer classification and recognition M Ahsan, S Naz, R Ahmad, H Ehsan, A Sikandar Information 14 (1), 36, 2023 | 16 | 2023 |
| STATISTICAL FEATURES EXTRACTION FOR CHARACTER RECOGNITION USING RECURRENT NEURAL NETWORK. S Naz, AI Umar, SB Ahmed, R Ahmad, SH Shirazi, MI Razzak, A Zaman Pakistan Journal of Statistics 34 (1), 2018 | 13 | 2018 |
| PHTI: Pashto Handwritten Text Imagebase for Deep Learning Applications I Hussain, R Ahmad, S Muhammad, K Ullah, H Shah, A Namoun IEEE Access, 2022 | 12 | 2022 |
| The impact of visual similarities of Arabic-like scripts regarding learning in an OCR system R Ahmad, S Naz, MZ Afzal, SF Rashid, M Liwicki, A Dengel 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 10 | 2017 |
| DeepSignature: fine-tuned transfer learning based signature verification system S Naz, K Bibi, R Ahmad Multimedia Tools and Applications, 2022 | 9 | 2022 |
Dr. Sheikh Faisal RashidSenior Researcher AI, Educational Technology Lab, DFKI BerlinVerified email at dfki.de
