A Hybrid Approach to Enhance the Security of Automated Teller Machine

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.