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Research on thermal safety verification code recognition based on SENet and CTC networks

Published: 31 July 2024 Publication History

Abstract

Aiming at the problems of poor generalization ability and excessive manual operation of traditional verification code recognition methods in thermal safety field, a hybrid verification code recognition model (CNN-SENet-BLSTM-CTC) is proposed. In this model, convolutional neural network is used to extract the depth information of the verification code, and the shallow fineness information is combined for information fusion. Then SENet network is embedded to improve the feature extraction capability of the model. Finally, bidirectional short and long time memory network and CTC are used for sequence modeling. In the "Shiyan smart heat network" system scenario, this paper constructs a noisy verification code data set and conducts a comparative experiment. The experimental results show that the accuracy of the proposed method is 98.46%, which proves the effectiveness and superiority of the proposed method. The model provides an efficient, accurate and secure verification code identification solution for the intelligent heat and power industry, which is suitable for key scenarios such as heat and power related website authentication, account registration and equipment access.

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  1. Research on thermal safety verification code recognition based on SENet and CTC networks

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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