FIELD: information technology.
SUBSTANCE: acoustic parameters used are the unique amplitude-frequency characteristic of the human body which is calculated as the ratio of spectral density of the power of an acoustic signal for a certain detection range on the human body to the spectral density of the power of a speech signal. References formed based on the amplitude-frequency characteristics are stored in a data base of acoustic biometric samples. The amplitude-frequency characteristic of the body of the identified person is used to generate a weighted Euclidean disparity of parameters of the amplitude-frequency characteristic of the body of the identified person and the reference. Based on the degree of difference between the identified person and the reference, a decision is made on the identity of the acoustic biometric sample of the identified person whose acoustic parameters were used when forming the reference.
EFFECT: high potential accuracy of personal identification, high noise-immunity of identification, high degree of security of the acoustic biometric sample.
1 dwg
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Authors
Dates
2012-05-20—Published
2011-04-27—Filed