Contribution on Arabic Handwriting Recognition Using Deep Neural Network

[1]  Rolla Almodfer,et al.  Arabic Handwritten Alphanumeric Character Recognition Using Very Deep Neural Network , 2017, Inf..

[2]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[3]  Monji Kherallah,et al.  Offline Arabic Handwritten recognition system with dropout applied in Deep networks based-SVMs , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

[4]  SchmidhuberJürgen.  Deep learning in neural networks , 2015 .

[5]  Christopher Kermorvant,et al.  Hybrid word/Part-of-Arabic-Word Language Models for arabic text document recognition , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

[6]  Premkumar Natarajan,et al.  Implicit Language Model in LSTM for OCR , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[7]  Mouhcine Rabi,et al.  Deep Neural Networks Features for Arabic Handwriting Recognition , 2017 .

[8]  Suryanti Awang,et al.  Deep learning algorithms for arabic handwriting recognition: A review , 2018 .

[9]  Jérôme Louradour,et al.  Segmentation-free handwritten Chinese text recognition with LSTM-RNN , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

[10]  Colin Moffatt,et al.  National characteristics and variation in Arabic handwriting. , 2015, Forensic science international.

[11]  Nicola Zorzi,et al.  A programmable System-on-Chip based digital pulse processing for high resolution X-ray spectroscopy , 2016, 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES).

[12]  Yasser M. Alginahi,et al.  A survey on Arabic character segmentation , 2012, International Journal on Document Analysis and Recognition (IJDAR).

[13]  Mohammad Alshayeb,et al.  KHATT: An open Arabic offline handwritten text database , 2014, Pattern Recognit..

[14]  Premkumar Natarajan,et al.  Combining Convolutional Neural Networks and LSTMs for Segmentation-Free OCR , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[15]  William A. Barrett,et al.  Data Augmentation for Recognition of Handwritten Words and Lines Using a CNN-LSTM Network , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[16]  Dong Zhou,et al.  Translation techniques in cross-language information retrieval , 2012, CSUR.

[17]  Jawad H. AlKhateeb,et al.  DBN - Based learning for Arabic handwritten digit recognition using DCT features , 2014, 2014 6th International Conference on Computer Science and Information Technology (CSIT).

[18]  Mohamed Faouzi BenZeghiba.  A Comparative Study on Optical Modeling Units for Off-Line Arabic Text Recognition , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[19]  Geoffrey E. Hinton,et al.  Deep Learning , 2015, Nature.

[20]  Hermann Ney,et al.  On the Benefits of Convolutional Neural Network Combinations in Offline Handwriting Recognition , 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).

[21]  Jean-Marc Ogier,et al.  Offline Arabic Handwriting Recognition Using BLSTMs Combination , 2018, 2018 13th IAPR International Workshop on Document Analysis Systems (DAS).

[22]  Xiang Bai,et al.  An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Yi-Chao Wu,et al.  Handwritten Chinese Text Recognition Using Separable Multi-Dimensional Recurrent Neural Network , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[24]  Venu Govindaraju,et al.  Handwritten Arabic text recognition using Deep Belief Networks , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[25]  Kha Cong Nguyen,et al.  Deep Convolutional Recurrent Network for Segmentation-Free Offline Handwritten Japanese Text Recognition , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

[26]  Sabri A. Mahmoud,et al.  Recognition : A Survey , 2013 .

[27]  Marcus Liwicki,et al.  The Impact of Visual Similarities of Arabic-Like Scripts Regarding Learning in an OCR System , 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).