Review on Latent Fingerprint Recognition Technique

Fingerprints are the oldest and most extensively used form of biometric recognition. A fingerprint is that the pattern of ridges and valleys on the surface of the tip. The uniqueness of a fingerprint is solely determined by the native ridge characteristics and their relationships. The most vital ridge characteristics, known as trivia, are ridge ending and ridge bifurcation. The performance of a fingerprint recognition system is possessed with the collection of fingerprint pictures. This poses a tangle for the fingerprint image as the image quality is usually low. As a result, fingerprint structures like trivialities and ridges might not be clearly visible to the human eye of a fingerprint examiner, nor to the machine eye of automatic matching systems. This paper deals with the problem of choice of associate optimum rule for fingerprint matching so as to style a system that matches needed specifications in performance and accuracy. This paper provides varieties of fingerprint recognition techniques like Spectral Image Validation and Verification (SIVV), Fuzzy Neuro-genetic approach, cascaded scheme, alignment-based elastic matching algorithm which increases the recognition rate and reduce the processing time.