منابع مشابه
Separating Overlapped Fingerprints Using Constrained Relaxation Labeling
Overlapped fingerprints are frequently encountered in latent fingerprints lifted from crime scenes. It is necessary to separate such overlapped fingerprints into component fingerprints so that existing fingerprint matchers can recognize them. The most crucial step in separating overlapped fingerprints is the separation of mixed orientation fields into component orientation fields. In this paper...
متن کاملImproved Algorithm for Separating Latent Overlapped Fingerprints
Latent Overlapped fingerprints are frequently encountered in latent fingerprints lifted from crime scenes. Overlapping occurs when the same location of an object is touched by one or more fingers several times. It is necessary to separate such latent overlapped fingerprints into component fingerprints so that existing fingerprint matchers can recognize them. In fact, fingerprint examiners usual...
متن کاملSeparation of Overlapped Fingerprints for Forensic Applications
Normally, fingerprint images contain a single fingerprint or a set of non overlapped fingerprints. There may be situations where overlapped fingerprint can be obtained. It can be frequently encountered in the latent fingerprint lifted from crime scenes. It is essential to separate those overlapped fingerprint into its component fingerprints. The challenging work in separating overlapped fingerp...
متن کاملSeparating Overlapped Intervals on a Line
Given n intervals on a line `, we consider the problem of moving these intervals on ` such that no two intervals overlap and the maximum moving distance of the intervals is minimized. The difficulty for solving the problem lies in determining the order of the intervals in an optimal solution. By interesting observations, we show that it is sufficient to consider at most n “candidate” lists of o...
متن کاملSeparating the real from the synthetic: minutiae histograms as fingerprints of fingerprints
In this study we show that by the current state-of-the-art synthetically generated fingerprints can easily be discriminated from real fingerprints. We propose a non-parametric distribution based method using second order extended minutiae histograms (MHs) which can distinguish between real and synthetic prints with very high accuracy. MHs provide a fixed-length feature vector for a fingerprint ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Information Forensics and Security
سال: 2011
ISSN: 1556-6013,1556-6021
DOI: 10.1109/tifs.2011.2114345