JIT_V1_N3_RP5 K. Lavanya C. Naga Raju Journal on Information Technology 2277-5250 1 3 25 30 Biometric, ATM, Steganography, Data Hiding, Face recognition, PCA Automated teller machine allows the banks customers to carry out banking transactions like, deposits, transfers, balance enquiries, and withdrawal. Criminal activities at ATM’s have become a nationwide issue. In order to certify safe and secure transactions banks has to meet certain standards. This paper focuses on preventing such activities and enhancing the level of security at ATMs. Biometric authentication technique is proven to address the problems of traditional methods which are presently used in ATMs. Face recognition has received substantial attention from researchers in biometrics. In this approach, a face recognition system for personal identification and verification can be done using Principal Component Analysis (PCA). To enhance the level of security user’s biometric data itself hidden with steganography measures. Spatial based LSB Steganography methods is used for hiding biometric data into another covered image and then receiver can detect the secret message. June - August 2012 Copyright © 2012 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=1911