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To reach the rural masses, banks are going all out in providing a user-friendly banking experience. To boost micro financing initiatives, banks are deploying biometric solutions with ATMs. Establishing the identity of a rural depositor through biometrics makes it possible for illiterate or barely literate folks to become part of the banking user community. Fingerprint recognition has been recognized as one of the most mature and established technique among all the biometrics systems. Fingerprinting, however, has the advantage of being a familiar concept worldwide. Naturally, with the mounting application of biometric systems, there arises a difficulty in storing and handling those acquired biometric data. In recent times, with fingerprint recognition receiving increasingly more attention the amount of fingerprints collected has been constantly creating enormous problems in storage and transmission. Henceforth, the Compression of fingerprints has emerged as an indispensable step in automated fingerprint recognition systems. The Proposed scheme utilizes the Bezier curve representations for effective compression of fingerprint images the control points are determined for all the ridges by visualizing each ridge as a Bezier curve. The control points of all the ridges determined are stored and are used to represent the fingerprint image. These control points are encrypted and transferred to central server of the bank for verification. This will reduce the transmission time of data, enables a quick processing.