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Saad Bin Ahmed
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2020 – today
- 2024
- [j11]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: 13010-13019 (2024) - 2023
- [j10]Zainab Zaman
, Saad Bin Ahmed
, Muhammad Imran Malik:
Analysis of Hyperspectral Data to Develop an Approach for Document Images. Sensors 23(15): 6845 (2023) - 2022
- [i4]Umaid M. Zaffar, Marium Aslam, Muhammad Imran Malik, Saad Bin Ahmed:
Few-Shot Learning for Biometric Verification. CoRR abs/2211.06761 (2022) - 2020
- [b1]Saad Bin Ahmed, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Script Text Recognition in Natural Scene Images - Arabic Text Complexities. Springer 2020, ISBN 978-981-15-1296-4, pp. 1-111 - [c6]Saad Bin Ahmed, Saeeda Naz, Imran Razzak
, Mukesh Prasad
:
Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j9]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: 19801-19820 (2019) - [j8]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: 153566-153578 (2019) - [j7]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak
:
Handwritten Urdu character recognition using one-dimensional BLSTM classifier. Neural Comput. Appl. 31(4): 1143-1151 (2019) - 2018
- [c5]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak
, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. ICONIP (1) 2018: 307-318 - [i3]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. CoRR abs/1809.10792 (2018) - 2017
- [j6]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): 239-245 (2017) - [j5]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: 80-87 (2017) - [j4]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): 219-231 (2017) - [c4]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak
, Rubiyah Yousaf:
Deep learning based isolated Arabic scene character recognition. ASAR 2017: 46-51 - [i2]Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yousaf:
Deep Learning based Isolated Arabic Scene Character Recognition. CoRR abs/1704.06821 (2017) - [i1]Saad Bin Ahmed, Saeeda Naz, Salahuddin Swati, Muhammad Imran Razzak:
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier. CoRR abs/1705.05455 (2017) - 2016
- [j3]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): 1225-1241 (2016) - [j2]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: 228-241 (2016) - [j1]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): 603-613 (2016) - [c3]Saad Bin Ahmed, Muhammad Imran Razzak
, Bandar Alhaqbani:
The Minutiae Based Latent Fingerprint Recognition System. ICC 2016 2016: 49:1-49:9 - [c2]Saeeda Naz, Saad Bin Ahmed, Riaz Ahmad, Muhammad Imran Razzak
:
Zoning Features and 2DLSTM for Urdu Text-line Recognition. KES 2016: 16-22 - 2013
- [c1]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: 1061-1065
Coauthor Index
aka: Imran Razzak
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last updated on 2024-04-25 05:47 CEST by the dblp team
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