A New Framework for improving low Quality Fingerprint Images

Fingerprints are the oldest and most widely used form of biometric identification. A fingerprint image may not always be well defined due to elements of noise that corrupts the clarity of the ridge structures or basic information, which is required for recognition. Noise may occur due to variations in skin and impression condition. Thus, image enhancement techniques are often used to reduce the noise and enhance the structure of ridges and valleys for minutiae detection. in this paper, we present a fingerprint image enhancement method which can adaptively improve the clarity of ridge and furrow structures of input fingerprint image based on the frequency and spatial domain filtering , local orientation estimation , local frequency estimation and morphological operation. There set of operation applied on own database DB-Finger that Improve the quality of fingerprint Image