Frequency and resolution analyzed biometric authentication method and device
First Claim
1. A personal authentication method using biological information,wherein during registration, acquired biological information is frequency-analyzed using a plurality of frequencies to generate a feature for each frequency and register the feature, andwherein the method comprises the steps of:
- selecting a frequency used for frequency analysis for authentication from the plurality of frequencies;
performing frequency analysis for acquired biological information of a person to be authenticated using the selected frequency to generate a feature for the frequency;
comparing the generated feature with the feature generated for the same frequency during the registration to perform personal authentication;
wherein the biological information is an image of an iris of an eye; and
wherein the selection of the frequency during the authentication is performed based on a resolution of an iris image taken during the authentication.
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Abstract
During registration, an iris image taken is frequency-analyzed using a plurality of frequencies f1 to fn to generate features for the respective frequencies f1 to fn. During authentication, frequencies f2 to fn are selected from the frequencies f1 to fn for use in frequency analysis for authentication. An iris image of a person to be authenticated taken is frequency-analyzed using the selected frequencies f2 to fn to generate features for the respective frequencies f2 to fn. The generated features are compared with the features generated for the same frequencies during the registration to perform personal authentication.
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Citations
10 Claims
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1. A personal authentication method using biological information,
wherein during registration, acquired biological information is frequency-analyzed using a plurality of frequencies to generate a feature for each frequency and register the feature, and wherein the method comprises the steps of: -
selecting a frequency used for frequency analysis for authentication from the plurality of frequencies; performing frequency analysis for acquired biological information of a person to be authenticated using the selected frequency to generate a feature for the frequency; comparing the generated feature with the feature generated for the same frequency during the registration to perform personal authentication; wherein the biological information is an image of an iris of an eye; and wherein the selection of the frequency during the authentication is performed based on a resolution of an iris image taken during the authentication. - View Dependent Claims (2, 3, 4)
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5. A personal authentication method using biological information,
wherein during registration, acquired biological information is frequency-analyzed using a plurality of frequencies to generate a feature for each frequency and register the feature, and wherein the method comprises the steps of: -
selecting a frequency used for frequency analysis for authentication from the plurality of frequencies; performing frequency analysis for acquired biological information of a person to be authenticated using the selected frequency to generate a feature for the frequency; comparing the generated feature with the feature generated for the same frequency during the registration to perform personal authentication; and wherein the authentication precision is calculated using a distribution of authentication scores between identical persons and a distribution of authentication scores between different persons.
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6. A personal authentication method using biological information,
wherein during registration, acquired biological information is frequency-analyzed using a plurality of frequencies to generate a feature for each frequency and register the feature, and wherein the method comprises the steps of: -
selecting a frequency used for frequency analysis for authentication from the plurality of frequencies; performing frequency analysis for acquired biological information of a person to be authenticated using the selected frequency to generate a feature for the frequency; comparing the generated feature with the feature generated for the same frequency during the registration to perform personal authentication; and wherein the authentication precision during the authentication is estimated from the selected frequency. - View Dependent Claims (7, 8, 9, 10)
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Specification