Security is a major issue in Automated Teller Machine (ATM).with the wide spread utilization of electronic transactions it is necessary to increase customers recognition accuracy. Biometric systems can offer convenient and secure mode of authentication to the customers. This paper proposes a survey of how multimodal biometric system enhances level of security in ATM system. Multimodal biometric system makes use of various biometric traits simultaneously to authenticate a person’s identity. In multimodal biometric system authentication method can vary with according to the following parameters like architecture, fusion level, and methodology for multiple verifiers’ integrations. In this paper a comparative study of the work done by various methods has been made in detail and an attempt has been taken to correlate and identified strengths and weakness of the existing methods for exploring the problem more in detail.