This project provides a deep learning solution for captcha recognition using TensorFlow, supporting complex scenarios like character粘连, perspective distortion, blur, and noise. It uses a three-layer architecture: convolutional layers for feature extraction from input images, recurrent layers (GRU/LSTM) for predicting label distributions from feature sequences, and a transcription layer using CTC for decoding final results by deduplication and integration.