Fingerprint system is an important biometric technique for personal identification. The metric used for performance of identification techniques are directly scanned fingerprints or inked impression of fingerprints. The purpose is real-time, high confidence recognition of a person's identity by mathematical analysis of the random patterns that are visible within the finger prints from some distance. Finger prints is a protected internal organ whose random texture is stable throughout life, it can serve as a kind of living password that one need not remember but one always carries along. Because the randomness of finger porint patterns has very high dimensionality, recognition decisions are made with confidence levels high enough to support rapid and reliable exhaustive searches through national-sized databases. Finger print recognition has shown to be very accurate for human identification. The metric used for performance of identification techniques are directly scanned fingerprints or inked impression of fingerprints. For better accuracy in matching the images of different decomposition of matching is performed. These parameters perform better in comparing the resultant fingerprints. When tested on a database of images this system is faster and more accurate to analyze the fingerprints matching process.

AFAS AFIS Image enhancement Classification Edge detection Correlation feature extraction