 Dr Li Wang, a researcher in the University of Warwick's department of computer science, explains that unlike other forms of ID recognition, like keying a PIN number on your credit card, ‘the difficulty for a biometric machine is the variability of the data. Every time you present your finger to a scanner, you do it in a slightly different way which can be due to an environmental factor, or unintentional variation pressures, temperature, skin moisture, lighting, these can all be very different every time.’
The method developed by Dr Wang and his colleagues at Warwick means that not only can distorted and incomplete fingerprints be identified, but it’s done almost instantaneously. ‘We had to come up with a way to automatically detect those distortions and subsequently remove them. We call that process normalization, we create a ‘geometric invariant’. It doesn't matter how much pressure is applied, or at what angle, or in what position, we can correct that and a make a unique representation of the fingerprint.’
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