Handwriting Arabic Character Recognition 7 . 1 . Shapes of Arabic Alphabet

By Rashad A. Al-Jawfi. 2007

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Xianglong Liu
2. Dacheng Tao
3. Rizwan Ahmed Khan
4. Maira Sami
5. Shihao Bai
6. Aishan Liu
7. Edwin R. Hancock
8. Jamshed Memon

Citations in the corpus

• Regionwise Generative Adversarial Image Inpainting for Large Missing Areas (2019, background): “The development of deep neural networks [22], [23] significantly promoted the progress of computer vision tasks [24]–[27].”
• Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) (2020, methodology): “The researchers proposed feed forward neural network algorithm of MLP (Multi Layer Preceptrons) [65].”