Title: A method of character verification code recognition in network based on artificial intelligence technology
Authors: Yongzhuo Wu
Addresses: Department, Information Engineering and Technology University, Qingdao Vocational and Technical College of Hotel Management, Shandong Qingdao, 266100, China
Abstract: In order to solve the problem of low recognition rate of network character captcha, a method of network character captcha recognition based on artificial intelligence is proposed. Firstly, the image preprocessing of character verification code is carried out. The weighted average method and the iterative optimal threshold method were used to process and binarise the character verification code image, and the denoised character image was obtained. For the character verification code image after binarisation, Laplace operator is used to segment the image, and the characters in the image are divided into blocks. Finally, according to the feature vector, the artificial neural network model is used for sample training and adaptive learning. Simulation results show that this method has higher recognition rate, better adaptability and robustness than the existing methods. This method can effectively recognise character verification codes.
Keywords: artificial intelligence; network; character type; verification code; recognition.
International Journal of Information and Communication Technology, 2020 Vol.16 No.4, pp.325 - 338
Received: 26 Mar 2019
Accepted: 23 May 2019
Published online: 30 Mar 2020 *