This research presents a novel hybrid model of convolutional neural network (CNN) and long short-term memory (LSTM) for Arabic handwritten character recognition (AHCR ... the AHCR dataset using a wide ...

Describe what you were trying to get done. Tell us what happened, what went wrong, and what you expected to happen. IMPORTANT: If your issue is related to a specific picture, include it so others can ...

Combinations of these letters give a total of 11,172 possible Hangul syllables/characters. However, only a small subset of these are typically used. This code pattern will cover ... to infer what the ...

The objective of this paper is to provide a sophisticated, effective and efficient way to recognize and classify Bangla handwritten characters. Here an extended convolutional neural network (CNN ...

The character recognition is mainly focusing on the layers of text recognition through deep learning techniques. Well cleared python code ... using deep learning techniques and recognize the input ...