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Research on the Captcha Recognition Method Based On Neural Network
| Content Provider | Scilit |
|---|---|
| Author | Liu, Zhifeng Tang, Xiaohu Wei, Zhenhua |
| Copyright Year | 2019 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science In this paper, the CAPTCHA recognition is studied by using neural network algorithm. Because the traditional BP neural network itself has problems such as uncertain structural parameters, low convergence rate and easy to fall into local minimum, this paper identifies the words in the image according to the pixel value of the verification code. In this paper, the image is divided into individual letters, and then the identified letters are spelled into words. Experimental results show that The accuracy of individual letters was higher, but the accuracy of letters identified from each small image was much lower. The accuracy can be improved by adding dictionaries to the prediction function to find the most matching words. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052008/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/252/5/052008 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 5 |
| Volume Number | 252 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-04-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture Neural Network Algorithm |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
