Urdu signboard detection and recognition using deep learning

Author:

Arafat Syed Yasser,Ashraf Nabeel,Iqbal Muhammad Javed,Ahmad IftikharORCID,Khan Suleman,Rodrigues Joel J. P. C.

Funder

King Abdulaziz University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference80 articles.

1. Ackley HS (2019) Methods for optical character recognition (OCR). US Patent Application No. 15/793:407

2. Ahmad I, Wang X, Li R, Rasheed S (2017) Offline Urdu Nastaleeq optical character recognition based on stacked denoising autoencoder. China Communications 14(1):146–157

3. Ahmed SB, Naz S, Razzak MI, Yousaf R (2017) Deep learning based isolated Arabic scene character recognition. In: 1st International Workshop on Arabic Script Analysis and Recognition (ASAR). IEEE, pp 46–51

4. Akram QUA, Hussain S (2017) Ligature-based font size independent OCR for Noori Nastalique writing style. 1st International Workshop on Arabic Script Analysis and Recognition (ASAR), IEEE, pp 129–133

5. Ali A, Pickering MA (2019) Hybrid deep neural network for Urdu text recognition in natural images. In: 4th International Conference on Image. Vision and Computing (ICIVC), IEEE, pp 321–325

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