Saad Bin Ahmed

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Character Recognition

Handwriting Recognition

Top Venues

Neural Comput. Appl.

Publications

Hasan Irtaza Mirza, Saad Bin Ahmed, Roberto Solis-Oba, Muhammad Imran Malik
Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images. IEEE Access 12 (2024)
Zainab Zaman, Saad Bin Ahmed, Muhammad Imran Malik
Analysis of Hyperspectral Data to Develop an Approach for Document Images. Sensors 23 (15) (2023)
Umaid M. Zaffar, Marium Aslam, Muhammad Imran Malik, Saad Bin Ahmed
Few-Shot Learning for Biometric Verification. CoRR (2022)
Saad Bin Ahmed, Saeeda Naz, Imran Razzak, Mukesh Prasad
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN (2020)
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Bte Yusof
A Novel Dataset for English-Arabic Scene Text Recognition (EASTR)-42K and Its Evaluation Using Invariant Feature Extraction on Detected Extremal Regions. IEEE Access 7 (2019)
Saad Bin Ahmed, Ibrahim A. Hameed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof
Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience. IEEE Access 7 (2019)
Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak
Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput. Appl. 31 (4) (2019)
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. CoRR (2018)
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. ICONIP (1) (2018)
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf
Deep Learning based Isolated Arabic Scene Character Recognition. CoRR (2017)
Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Muhammad Imran Razzak
Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features. Neural Comput. Appl. 28 (2) (2017)
Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. CoRR (2017)
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf
Deep learning based isolated Arabic scene character recognition. ASAR (2017)
Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak, Arif Iqbal Umar
UCOM offline dataset-an urdu handwritten dataset generation. Int. Arab J. Inf. Technol. 14 (2) (2017)
Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Imran Siddiqi, Saad Bin Ahmed, Muhammad Imran Razzak, Faisal Shafait
Urdu Nastaliq recognition using convolutional-recursive deep learning. Neurocomputing 243 (2017)
Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak
Zoning Features and 2DLSTM for Urdu Text-line Recognition. KES (2016)
Saad Bin Ahmed, Muhammad Imran Razzak, Bandar Alhaqbani
The Minutiae Based Latent Fingerprint Recognition System. ICC 2016 (2016)
Saeeda Naz, Arif Iqbal Umar, Syed Hamad Shirazi, Saad Bin Ahmed, Muhammad Imran Razzak, Imran Siddiqi
Segmentation techniques for recognition of Arabic-like scripts: A comprehensive survey. Educ. Inf. Technol. 21 (5) (2016)
Saeeda Naz, Arif Iqbal Umar, Riaz Ahmad, Saad Bin Ahmed, Syed Hamad Shirazi, Imran Siddiqi, Muhammad Imran Razzak
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks. Neurocomputing 177 (2016)
Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Shiekh Faisal Rashid, Muhammad Zeeshan Afzal, Thomas M. Breuel
Evaluation of cursive and non-cursive scripts using recurrent neural networks. Neural Comput. Appl. 27 (3) (2016)
Adnan Ul-Hasan, Saad Bin Ahmed, Sheikh Faisal Rashid, Faisal Shafait, Thomas M. Breuel
Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks. ICDAR (2013)