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The Importance Of Fingerprinting

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Of all the identification methods in crimes, fingerprinting has one of the longest histories. Fingerprints, the friction ridge detail on the inside of the hands, are almost always unique and unchanging for a person’s entire life. It’s been an invaluable tool in forensics, solving many crimes and being used in evidence in countless trials, and is a well-known tool by laypeople, after being featured in CSI shows around the world. The ACE-V method used in Australia has particularly increased the accuracy of correct positive identification, preventing false positive identifications and reducing false negative identifications. But fingerprints are not simple, nor infallible. Subject to personal interpretation, and without a single universal …show more content…

Once this is established, scientists move to the comparison stage, observing the inked fingerprint and latent print from the crime scene side-by-side to determine details of the prints and the agreements or discrepancies between them; then evaluation, the assessment of the results of the analysis and comparison stages to determine a conclusion on the individualisation of the print, and finally: verification by an independent examiner by re-examining the prints and coming to the same conclusion (Lennard, 2012). The only conclusions are inclusion (meaning the evidence points to the fingerprints being caused by the same ridge skin), exclusion (the evidence does not support the fingerprints being caused by the same ridge skin), or inconclusive (insufficient detail to support either conclusion) (Lennard, 2012). Many countries around the world established numerical thresholds or matched friction ridge features to support a conclusion, which have since fallen out of favour in many countries including Australia, although many scientists continue to hold their own thresholds (Lennard, 2012; Robinson, 2011).
The use of the ACE-V method is a credit to the accuracy and reliability of fingerprinting as a forensic method. Research by Langenburg (2008) found a higher accuracy rate (100%) when the result was identification of a match, with a lower accuracy when the result was exclusion, with the verification process doubling the amount of

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