Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks. - Adnan Ul-Hasan; Saad Bin Ahmed; Sheikh Faisal Rashid; Faisal Shafait; Thomas M. Breuel (ICDAR, 2013)

The Minutiae Based Latent Fingerprint Recognition System. - Saad Bin Ahmed; Muhammad Imran Razzak; Bandar Alhaqbani (ICC 2016, 2016)

Zoning Features and 2DLSTM for Urdu Text-line Recognition. - Saeeda Naz; Saad Bin Ahmed; Riaz Ahmad 001; Muhammad Imran Razzak (KES, 2016)

Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey. - Saeeda Naz; Arif Iqbal Umar; Syed Hamad Shirazi; Saad Bin Ahmed; Muhammad Imran Razzak; Imran Siddiqi (Educ. Inf. Technol., 2016)

Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks. - Saeeda Naz; Arif Iqbal Umar; Riaz Ahmad 001; Saad Bin Ahmed; Syed Hamad Shirazi; Imran Siddiqi; Muhammad Imran Razzak (Neurocomputing, 2016)

Evaluation of cursive and non-cursive scripts using recurrent neural networks. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Shiekh Faisal Rashid; Muhammad Zeeshan Afzal; Thomas M. Breuel (Neural Comput. Appl., 2016)

Deep learning based isolated Arabic scene character recognition. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Yousaf (ASAR, 2017)

Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. - Saad Bin Ahmed; Saeeda Naz; Salahuddin Swati; Muhammad Imran Razzak (CoRR, 2017)

UCOM offline dataset-an urdu handwritten dataset generation. - Saad Bin Ahmed; Saeeda Naz; Salahuddin Swati; Muhammad Imran Razzak; Arif Iqbal Umar (Int. Arab J. Inf. Technol., 2017)

Urdu Nastaliq recognition using convolutional-recursive deep learning. - Saeeda Naz; Arif Iqbal Umar; Riaz Ahmad 001; Imran Siddiqi; Saad Bin Ahmed; Muhammad Imran Razzak; Faisal Shafait (Neurocomputing, 2017)

Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features. - Saeeda Naz; Arif Iqbal Umar; Riaz Ahmad 001; Saad Bin Ahmed; Syed Hamad Shirazi; Muhammad Imran Razzak (Neural Comput. Appl., 2017)

Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Yusof (ICONIP (1), 2018)

Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. - Saad Bin Ahmed; Ibrahim A. Hameed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Yusof (IEEE Access, 2019)

A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions. - Saad Bin Ahmed; Saeeda Naz; Muhammad Imran Razzak; Rubiyah Bte Yusof (IEEE Access, 2019)

Handwritten Urdu character recognition using one-dimensional BLSTM classifier. - Saad Bin Ahmed; Saeeda Naz; Salahuddin Swati; Muhammad Imran Razzak (Neural Comput. Appl., 2019)

Cursive Script Text Recognition in Natural Scene Images - Arabic Text Complexities - Saad Bin Ahmed; Muhammad Imran Razzak; Rubiyah Yusof (Springer, 2020)

Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. - Saad Bin Ahmed; Saeeda Naz; Imran Razzak; Mukesh Prasad (IJCNN, 2020)

Few-Shot Learning for Biometric Verification. - Umaid M. Zaffar; Marium Aslam; Muhammad Imran Malik; Saad Bin Ahmed (CoRR, 2022)

Analysis of Hyperspectral Data to Develop an Approach for Document Images. - Zainab Zaman; Saad Bin Ahmed; Muhammad Imran Malik (Sensors, 2023)

Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images. - Hasan Irtaza Mirza; Saad Bin Ahmed; Roberto Solis-Oba; Muhammad Imran Malik (IEEE Access, 2024)