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 th...

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Bibliographic Details
Published in2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control pp. 766 - 771
Main Authors Chen Rui, Yang Jing, Hu Rong-gui, Huang Shu-guang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2013
Subjects
CAPTCHA recognition
CAPTCHAs
Decoding
decoding algorithm
Genetic algorithms
Hidden Markov models
Image recognition
Image segmentation
Network Security
Probability
Recurrent Neural Network
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Summary: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.
DOI:10.1109/IMCCC.2013.171