Method and device for authenticating identify by means of fusion of multiple biological characteristics
First Claim
1. A method for authenticating an identity based on fusion of a plurality of biological characteristics, comprising:
- collecting at least two types of biological characteristic identity information of a to-be-identified user;
performing characteristic extraction on each type of the at least two types of biological characteristic identify information, to obtain sets of characteristic information, wherein there is a one-to-one correspondence between the sets of characteristic information and the at least two types of biological characteristic identify information;
establishing characteristic matrixes based on the sets of characteristic information, wherein there is another one-to-one correspondence between the sets of characteristic information and the characteristic matrixes;
performing normalization processing on each of the characteristic matrixes;
performing dynamic weighting fusion on all of the normalized characteristic matrixes, to obtain a fused characteristic matrix;
matching the fused characteristic matrix with a preset standard matrix, to obtain a matching score; and
obtaining an identity identification result of the to-be-identified user based on a Bayesian decision model and the matching score;
wherein the performing dynamic weighting fusion on all of the normalized characteristic matrixes to obtain a fused characteristic matrix comprises;
allocating an initial weighting value to each of the normalized characteristic matrixes according to a preset weighting value allocation criteria, wherein a sum of all of the initial weighting values is equal to 1;
calculating an integrity rate for each of the sets of characteristic information corresponding to the characteristic matrixes, wherein the integrity rate is a ratio of a quantity of elements in the set of characteristic information to a quantity of elements in the corresponding characteristic matrix;
adjusting the initial weighting value of each of the normalized characteristic matrixes based on the integrity rates while ensuring a sum of all of the adjusted weighting values is equal to 1; and
performing weighting fusion on all of the normalized characteristic matrixes based on the adjusted weighting values, to obtain the fused characteristic matrix.
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Abstract
Provided are a method and device for authenticating an identity based on fusion of multiple biological characteristics. The method includes: collecting at least two types of biological characteristic identity information of a to-be-identified user; performing characteristic extraction on each type of the collected biological characteristic identify information, to obtain characteristic information corresponding to the type; establishing characteristic matrixes based on the characteristic information; performing normalization processing on each of the characteristic matrixes; performing dynamic weighting fusion on all of the normalized characteristic matrixes, to obtain a fused characteristic matrix; matching the fused characteristic matrix with a preset standard matrix, to obtain a matching score; and obtaining an identity identification result of the to-be-identified user based on a Bayesian decision model and the matching score.
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Citations
12 Claims
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1. A method for authenticating an identity based on fusion of a plurality of biological characteristics, comprising:
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collecting at least two types of biological characteristic identity information of a to-be-identified user; performing characteristic extraction on each type of the at least two types of biological characteristic identify information, to obtain sets of characteristic information, wherein there is a one-to-one correspondence between the sets of characteristic information and the at least two types of biological characteristic identify information; establishing characteristic matrixes based on the sets of characteristic information, wherein there is another one-to-one correspondence between the sets of characteristic information and the characteristic matrixes; performing normalization processing on each of the characteristic matrixes; performing dynamic weighting fusion on all of the normalized characteristic matrixes, to obtain a fused characteristic matrix; matching the fused characteristic matrix with a preset standard matrix, to obtain a matching score; and obtaining an identity identification result of the to-be-identified user based on a Bayesian decision model and the matching score; wherein the performing dynamic weighting fusion on all of the normalized characteristic matrixes to obtain a fused characteristic matrix comprises; allocating an initial weighting value to each of the normalized characteristic matrixes according to a preset weighting value allocation criteria, wherein a sum of all of the initial weighting values is equal to 1; calculating an integrity rate for each of the sets of characteristic information corresponding to the characteristic matrixes, wherein the integrity rate is a ratio of a quantity of elements in the set of characteristic information to a quantity of elements in the corresponding characteristic matrix; adjusting the initial weighting value of each of the normalized characteristic matrixes based on the integrity rates while ensuring a sum of all of the adjusted weighting values is equal to 1; and performing weighting fusion on all of the normalized characteristic matrixes based on the adjusted weighting values, to obtain the fused characteristic matrix. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A device for authenticating an identity based on fusion of a plurality of biological characteristics, comprising:
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an identity information collecting module configured to collect at least two types of biological characteristic identity information of a to-be-identified user; a characteristic extracting module configured to perform characteristic extraction on each type of the at least two types of biological characteristic identify information, to obtain sets of characteristic information, wherein there is a one-to-one correspondence between the sets of characteristic information and the at least two types of biological characteristic identify information; a matrix establishing module configured to establish characteristic matrixes based on the sets of characteristic information, wherein there is another one-to-one correspondence between the sets of characteristic information and the characteristic matrixes; a normalization processing module configured to perform normalization processing on each of the characteristic matrixes; a fusing matrix module configured to perform dynamic weighting fusion on all of the normalized characteristic matrixes, to obtain a fused characteristic matrix; a matching module configured to match the fused characteristic matrix with a preset standard matrix, to obtain a matching score; and an identifying module configured to obtain an identity identification result of the to-be-identified user based on a Bayesian decision model and the matching score; wherein the fusing matrix module comprises; an initial weighting value allocating unit configured to allocate an initial weighting value to each of the normalized characteristic matrixes according to a preset weighting value allocation criteria, wherein a sum of all of the initial weighting values is equal to 1; an integrity rate calculating unit configured to calculate an integrity rate for each of the characteristic information corresponding to the characteristic matrixes, wherein the integrity rate is a ratio of a quantity of elements in the set of characteristic information to a quantity of elements in the corresponding characteristic matrix; a weighting value adjusting unit configured to adjust the weighting value of each of the normalized characteristic matrixes based on the integrity rates while ensuring a sum of all of the adjusted weighting values is equal to 1; and a weighting fusion unit configured to perform weighting fusion on all of the normalized characteristic matrixes based on the adjusted weighting values, to obtain the fused characteristic matrix. - View Dependent Claims (10, 11, 12)
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Specification