A STATIONARY WAVELET TRANSFORM APPROACH FOR IMPROVED FINGERPRINT RECOGNITION SCHEME

摘要

Fingerprint recognition, a known biometrics for personal identification is used in securing confidential Data Contents. Fingerprint exhibits textured like patterns of whorls, loop etc in sector form which is then used for fingerprint matching. The existing method uses Gabor filter which does not provide much Robustness. In this Paper, a hybrid algorithm is overlaid in combination with SWT and PCA techniques for image denoising, thereby obtaining a visually sharper reconstructed inked fingerprint images. The Proposed matching approach proves more robust than existing techniques.