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This dataset consists of augmented Arabic characters, specifically curated and augmented for recognition in Jawi script, a variant of the Arabic script used historically in the Nusantara region. The augmentation process involved the creation of additional Arabic characters representing Jawi script, focusing on various forms and configurations to encompass the connected and disconnected shapes present in the Jawi script. These characters were augmented using digital image processing techniques and incorporated to enhance the available dataset for improved Jawi script recognition using deep learning methodologies. The dataset is an essential resource for advancing research in Jawi script recognition and furthering the understanding of this historical and culturally significant script. 

Content: Additional Arabic characters augmented for Jawi script recognition. Images resized to 300x300 pixels for consistency. 

Sources: 

HMBD Arabic script dataset (Source: [1] H. M. Balaha, H. A. Ali, M. Saraya, and M. Badawy, \"A new Arabic handwritten character recognition deep learning system (AHCR-DLS),\" Neural Comput Appl, vol. 33, no. 11, pp. 6325\u20136367, Jun. 2021, doi: 10.1007/s00521-020-05397-2.) 

AHAWP Arabic script dataset (Source: [2] M. A. Khan, \"Arabic handwritten alphabets, words and paragraphs per user (AHAWP) dataset,\" Data Brief, vol. 41, p. 107947, Apr. 2022, doi: 10.1016/j.dib.2022.107947.) 

HUCD Urdu script dataset (Source: [3] F. Mushtaq, M. M. Misgar, M. Kumar, and S. S. Khurana, \"UrduDeepNet: offline handwritten Urdu character recognition using deep neural network,\" Neural Comput Appl, 2021, doi: 10.1007/s00521-021-06144-x and Source: [4] M. M. Misgar, F. Mushtaq, S. S. Khurana, and M. Kumar, \"Recognition of offline handwritten Urdu characters using RNN and LSTM models,\" Multimed Tools Appl, vol. 82, no. 2, pp. 2053\u20132076, Jan. 2023, doi: 10.1007/s11042-022-13320-1.)

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