Publication Type : Book Chapter
Publisher : Springer Nature Singapore
Source : Inventive Systems and Control: Proceedings of ICISC 2023
Url : https://link.springer.com/chapter/10.1007/978-981-99-1624-5_49
Campus : Amritapuri
School : School of Computing
Year : 2023
Abstract : Captcha technology has grown in popularity along with the growth of the Internet. The completely automated public Turing test to tell computers and humans apart uses captcha technology to discriminate between humans and robots. The most common type of CAPTCHA is text-based. The majority of CAPTCHAs that use text have been broken. However, prior research has primarily relied on complex and ineffective preparation methods to attack text CAPTCHAs. This study builds a deep CNN network model that can recognize a 5-character text captcha by researching captcha recognition technology.
Cite this Research Publication : Abhishek, S., S. Sanjana, Mahima Chowdary Mannava, and T. Anjali. "Cnn combined with fc classifier to combat artificial penta-digit text-based captcha." In Inventive Systems and Control: Proceedings of ICISC 2023, pp. 665-676. Singapore: Springer Nature Singapore, 2023.