Fingerprint-Based Random Sequence Generator
Zhu Hegui, Zhang Xiangde, Yang Lianping, and Tang Qingsong
2009, 46(11):
1862-1867.
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In this paper, fingerprint characteristic is not used in identification and recognition as usual. On the contrary, the randomness of fingerprint characteristics including uniqueness, unpredictability, and external noises such as lighting and trauma, are all used to develop a new kind of random sequence generator—fingerprint-based random sequence generator, which combines cryptography with biometrics characteristics in a novel way. In order to guarantee the fingerprint-based random sequence generator works well, firstly, the auto-correlation function method and BDS statistical tests are used to verify there are no linear correlation and nonlinear correlation in fingerprint-based random sequence. Consequently, fingerprint-based random sequence obtained in this paper is absolutely and truly random. Furthermore, to verify the fingerprint-based random sequence generator is good and with high cryptographic security, the generated fingerprint-based random sequences are tested at a high level of significance by a variety of modern standard statistical tests. All these tests are from the standard Federal Information Processing Standards (FIPS) 140-1 Tests and National Institute of Standards and Technology (NIST) Special Publication 800-22 Tests which are recommended by NIST. In a word, all these discussions show that there are wide application fields for the fingerprint-based random sequence generator, which not only extends the possibilities of obtaining truly random sequence through biological systems, but also provides random sequences in simple and portable way.