Biometric authentication constructed from quantum entropy distribution fuzzy hash

In this paper, we propose a novel construction method of biometric authentication algorithm based on quantum entropy distribution fuzzy hash. Utilizing the special attributes of normalized quantum information entropy, the quantum fuzzy hash is combined with the distribution architecture of quantum data sequence, and can extract the maximum common feature of quantum information exist in these homologous data files. Based on the degree of difference in these hash values, the proposed quantum entropy distribution fuzzy hash algorithms can efficiently identify similarity quantum data files. The novel quantum entropy distribution fuzzy hash is constituted by quantum algorithm, and the corresponding biometric authentication algorithm solved the problem that classical similar algorithms cannot efficiently resist the attack of quantum Turing machine. Theoretical analysis proves that the securities of the proposed schemes are satisfying conditions of the information security and access control validity.