A new technique that uses Discrete Fractal Brownian Motion to describe a fingerprint is presented. By computing certain fractal parameters, a fingerprints core and delta fields can be roughly detected. Experimental results demonstrate this method to be not only more efficient than the single fractal dimension method, but also more noise resistant than the traditional schemes.
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