A Novel LSTM-RNN Decoding Algorithm in CAPTCHA Recognition

LSTM-RNN has been succeeded in applying in offline handwritten recognition. The paper used two-dimensional LSTM-RNN to recognize text-based CAPTCHA. Aiming at the problem that traditional decoding algorithm cannot obtain satisfactory results. The paper proposed a novel decoding algorithm based on the multi-population genetic algorithm. The experimental results showed that the novel decoding algorithm for the LSTM-RNN can improve the recognition rate of merged-type CAPTCHA.