A Hybrid Approach to Enhance the Security of Automated Teller Machine

Autor:	Sourjya Kumar Dutta, Shreyasi Bandyopadhyay, Rahul Dutta, Sabarna Choudhury, Satyaki Chatterjee
Rok vydání:	2017
Předmět:	Direct voice input Password Scheme (programming language) End results Engineering Biometrics business.industry Fingerprint recognition Hybrid approach Computer security computer.software_genre Customer satisfaction business computer computer.programming_language
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9789811027499
DOI:	10.1007/978-981-10-2750-5_71
Popis:	With the rise of crimes in Automated Teller Machines, the security of the ATM is at stake. The Traditional Security Methods such as passwords or pins had always been a cause of worry to the users because of it getting lost, stolen or forgotten. The biometric authentication uses one’s unique features as password. The paper deals with one of the oldest biometric traits, Fingerprint Recognition. The paper moreover adds a sophisticated voice input system and a Password Breaking scheme. The end results of a highly secure and sophisticated ATM system enhances the efficacy of the system, providing customer satisfaction in banking sectors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3ba69cb7f28b78f7c2fac8e994b6085b https://doi.org/10.1007/978-981-10-2750-5_71 Zobrazit plný text záznamu