New fingerprinting method giving sweaty palms to criminals!

All the criminals, it is time to beware. The new Pore Fingerprinting Method is more efficient than any cape adorned vigilante in tracing down the culprit(s).

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So what makes it so reliable?

An expert will obviously choose the new Pore Fingerprinting Method over the traditional methods for the efficiency factor. The researchers have also deemed the newest method more reliable in establishing the identity of people. Earlier Automatic Fingerprint Recognition Systems (AFRSs) used to rely on minutiae position and orientation for matching fingerprints. However this method had its limitations due to lack of high resolution of prints obtained, harsh working conditions and various other minute but crucial factors that determine and affect fingerprints. So recently, sweat pores have been employed in determining the identity of a person in crime scenes.

How does it work?

This is a method that actually images the sweat pores in a human hand by using a polymer. The pores are actually extracted by using a computationally expensive skeletonization method that extracts the pores accurately. These polymers are generally Hydrochromic Conjugates that fluoresce when they come in contact with water droplets. These compounds have the ability to sense humidity and are used extensively for measuring water contents in organic solvents. As soon as the Hydrochromic Conjugated polymer comes in contact with the tiniest droplet of water it undergoes a “Turn-on” change and switches from a brilliant Blue to Red. As a result on a tiny fraction of the entire fingerprint is sufficient to robustly determine the identity.

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What determines the accuracy of the New Pore Fingerprinting Method?

An adaptive anisotropic pore model is the best for accurately extract the pores. The parameters of the same are pretty flexible; it can be aligned according to the fingerprint ridge direction and the period. The entire fingerprint is broken down into blocks and then for each block the Local Pore Model is determined. Then the datasets are used to reconstruct the entire fingerprint match and identify the individual. Studies have proven that this new method can locate pores more efficiently in comparison to the other methods available.

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Are there any other uses?

Besides Criminology and Forensics the other fields that will be merited by the discovery of this method include medical science and security.

Medical science: experts are stating that this new method has an upper-hand over other state of the art methods as it has the potential of being embraced by the field of medicine as well. The sensor technology has the potential of serving as a new method for the diagnosis of malfunctioning of sweat pores by virtue of its high sensitivity and also the accuracy.

Security: the simplistic approach and the replicable methods actually make this method highly efficient in imparting high security solutions. Now the fingerprint sensors can not only determine the ridges and grooves on the fingers but also recognize the pattern of pores on the palm and fingers. The technology has the power to recognize both closed as well as open pores.

So sweaty hands are no longer a good news for criminals. The new method employs the state of the art method that uses a number of layered biometric analyses techniques for determination of the identity. It is being deemed a foolproof technique till now even by the experts. The Pore Extraction method is being seen to play a very important role in the fragmentary fingerprint examination from among large populations or involving high levels of security. All the existing methods are a slave of resolution, so if pore size changes with resolution the entire algorithm changes. And the fingerprinting techniques are costly. The anisotropic fingerprint aspects used can detect both open and closed pores. So technically, this method has combined a toggle mapping technique and directional field info to estimate the ridge locations. This method guarantees extreme low levels of noise and hence more accuracy as a net result.

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