The system uses a convolutional neural network for feature extraction followed by recurrent neural networks (LSTM) for sequence modeling, with CTC (Connectionist Temporal Classification) decoding to handle variable-length output sequences. It is trained on the IAM offline handwritten text recognition dataset and can process single word images or multi-word text lines.