Level-2 Touch-less Fingerprint Recognition

Abstract Offline Touch-less Fingerprint Recognition system is a new option for conventional touch based fingerprint recognition system. Offline process helps in enhancement process and gives better result. Touch-less system is differ from old conventional system in the way that it uses high resolution camera to capture the fingerprint image. This paper provides a new ideal solution to the problems in view of hygienic and latency of fingerprints. Here we present a fingerprint recognition system based on a novel approach based on minutiae matching algorithm. The system consist of mainly three stages - preprocessing, feature extraction and matching stage. The preprocessing stage is most important as it needs promising results in terms of stages like segmentation, enhancement, feature extraction and core point detection. Favorable recognition results are attained with the Euclidean Distance Method. Keywords: Image preprocessing, minutiae-based, minutiae Extraction, principle component analysis, local ridge orientation.