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Biometric-based random sequence generator
Zhang, Xiang-De (1); Zhu, He-Gui (1); Yang, Lian-Ping (1); Tang, Qing-Song (1)
2007, 28 (7):
969-972.
DOI: -
The randomness of biometric features including uniqueness, unpredictability, irreproducibility and external noises such as lighting and trauma are all used to develop biometric-based random sequence generators. The generator is discussed in detail with iris as an example. The Canny operator is used to do boundary test with the iris images, then the binaryzed iris images are gotten and the pixel coordinates values (i, j) are fetched as '1' and the random sequence over the interval[-1, 1] can be acquired by the function f(i, j)-cos(i × j). Then, the FIPS 140-1 tests are carried out for the sequences so as to verify the outstanding randomness. The results show that the generator is not only good at randomness, but also simple and easy to implement, in comparison to other similar generators, thus providing a new way to generate true random sequence.
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