Beschreibung
With the development of computer network technology and e-commerce, the self-service banking system has got extensive popularization with the characteristic offering high-quality 24 hours service for customer. Nowadays, using the ATM (Automatic Teller Machine) which provides customers with the convenient banknote trading is very common. However, the financial crime case rises repeatedly in recent years; a lot of criminals tamper with the ATM terminal and steal user's credit card and password by illegal means. Traditional ATM systems authenticate generally by using the credit card and the password, the method has some defects. Using Debit/credit card and password can not verify the client's identity exactly. In recent years, the algorithm that the fingerprint recognition continuously updated, which has offered new verification means for us, the original password authentication method combined with the bio-metric identification technology verify the clients identity better and achieve the purpose that use of ATM machines improve the safety effectively.
Autorenporträt
Chilamakur Raghavendra is an Assistant Professor in IARE, Dundigal, Hyderabad.He is pursuing PhD in JNTU,Anantapur.He is specialized in teaching Computer Programming, C++, Computer Organization.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
