Semantic text extraction from CAPTCHA using Neural Networking
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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Brac University
2022
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| Acesso em linha: | http://hdl.handle.net/10361/17648 |
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10361-176482022-12-14T21:01:37Z Semantic text extraction from CAPTCHA using Neural Networking Chowdhury, Iftekhar Kabir Jarif, Md. Nahiyan Showmik, Sadman Oishi, Farah Farhin Bin Jinnat, Afif Mostakim, Mr. Moin Khondaker, Ms. Arnisha Department of Computer Science and Engineering, Brac University CAPTCHA Convolutional neural networks Recurrent Neural Networks. Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 44-46). CAPTCHA stands for Completely Automated Public Turing Test to distinguish Computers and Humans Apart. CAPTCHA is used for a variety of reasons, includ ing internet security. There are various CAPTCHA methods available nowadays, including text-based, sound-based, picture-based, puzzle-based, and so on. The most prevalent variety is text-based CAPTCHA, designed to be easily recognized by hu mans, frequently used to separate people from automated applications, and challeng ing to understand by machines or robots. However, as deep learning advances, it’ll become much easier to create Convolutional Neural Network (CNN) models which will successfully decipher text-based CAPTCHAs. The CAPTCHA-breaking work flow consists of attempts, techniques, and enhancements to the computation-friendly Convolutional Neural Network (CNN) version that aims to reinforce accuracy. In comparison to the break of the whole CAPTCHA shutter at an equivalent time to separate CAPTCHA images for individual characters from 2 pixels on the corner of the sector with a replacement set of coaching data, then offered an efficient division of the network separation to interrupt the transmission of CAPTCHA text. Se mantic textual content segmentation may be a natural step in developing coarse to first-class inference. The inspiration is often placed in classification, which creates a prediction for a whole input. Iftekhar Kabir Chowdhury Md. Nahiyan Jarif Sadman Showmik Farah Farhin Oishi Afif Bin Jinnat B. Computer Science and Engineering 2022-12-14T07:34:21Z 2022-12-14T07:34:21Z 2022 2022-05 Thesis ID: 18101463 ID: 18101348 ID: 18101124 ID: 18101033 ID: 18101047 http://hdl.handle.net/10361/17648 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 46 Pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
CAPTCHA Convolutional neural networks Recurrent Neural Networks. Neural networks (Computer science) |
| spellingShingle |
CAPTCHA Convolutional neural networks Recurrent Neural Networks. Neural networks (Computer science) Chowdhury, Iftekhar Kabir Jarif, Md. Nahiyan Showmik, Sadman Oishi, Farah Farhin Bin Jinnat, Afif Semantic text extraction from CAPTCHA using Neural Networking |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Mostakim, Mr. Moin |
| author_facet |
Mostakim, Mr. Moin Chowdhury, Iftekhar Kabir Jarif, Md. Nahiyan Showmik, Sadman Oishi, Farah Farhin Bin Jinnat, Afif |
| format |
Thesis |
| author |
Chowdhury, Iftekhar Kabir Jarif, Md. Nahiyan Showmik, Sadman Oishi, Farah Farhin Bin Jinnat, Afif |
| author_sort |
Chowdhury, Iftekhar Kabir |
| title |
Semantic text extraction from CAPTCHA using Neural Networking |
| title_short |
Semantic text extraction from CAPTCHA using Neural Networking |
| title_full |
Semantic text extraction from CAPTCHA using Neural Networking |
| title_fullStr |
Semantic text extraction from CAPTCHA using Neural Networking |
| title_full_unstemmed |
Semantic text extraction from CAPTCHA using Neural Networking |
| title_sort |
semantic text extraction from captcha using neural networking |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17648 |
| work_keys_str_mv |
AT chowdhuryiftekharkabir semantictextextractionfromcaptchausingneuralnetworking AT jarifmdnahiyan semantictextextractionfromcaptchausingneuralnetworking AT showmiksadman semantictextextractionfromcaptchausingneuralnetworking AT oishifarahfarhin semantictextextractionfromcaptchausingneuralnetworking AT binjinnatafif semantictextextractionfromcaptchausingneuralnetworking |
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1814309575062454272 |