Arabic Number OCR NID Keras

Creating a program to extract National Identification (NID) numbers from images, Arabic Number Optical Character Recognition (OCR) system using Keras. The system uses computer vision and a Convolutional Neural Network (CNN) to accomplish this. The accuracy of the system is dependent on the quality of the input data.

The specific Keras libraries are used for building the CNN model.

The architecture of the CNN model, includes the number and type of convolutional layers, pooling layers, and fully connected layers.

The training process of the CNN model, including the training dataset, the loss function used for optimization, and the evaluation metrics used to measure performance.