초록 ▼

A biometric apparatus and a method thereof using bio signals are provided. The apparatus includes an ADC, a periodic signal extractor, a template storing portion, a comparator. The ADC performs sampling of an input bio signal to convert the sampled bio signal into a digital signal. The periodic sign

A biometric apparatus and a method thereof using bio signals are provided. The apparatus includes an ADC, a periodic signal extractor, a template storing portion, a comparator. The ADC performs sampling of an input bio signal to convert the sampled bio signal into a digital signal. The periodic signal extractor extracts the periodic signals from the digital signal. The template storing portion registers a plurality of users and stores periodic signals for the respective registered users in a form of templates. The comparator computes similarity between the periodic signals outputted from the periodic signal extractor and the respective templates to select a template whose similarity is greatest and recognizes a user that corresponds to the selected template as a user who corresponds to the input bio signal.

대표청구항 ▼

What is claimed is: 1. A biometric apparatus, comprising: an ADC (analog-to-digital converter) sampling an input bio signal to convert the sampled bio signal into a digital signal; a periodic signal extractor for extracting a plurality of periodic signals from the digital signal; a template stori

What is claimed is: 1. A biometric apparatus, comprising: an ADC (analog-to-digital converter) sampling an input bio signal to convert the sampled bio signal into a digital signal; a periodic signal extractor for extracting a plurality of periodic signals from the digital signal; a template storing portion registering a plurality of users and storing periodic signals for the respective registered users in a form of a template; and a comparator computing similarity between the periodic signals outputted from the periodic signal extractor and the respective templates to select a template whose similarity is greatest and recognizing a user who corresponds to the selected template as a user who corresponds to the input bio signal. 2. The apparatus as claimed in claim 1, wherein the similarity is computed as distances between the periodic signals and the respective templates, as given by the following equation: where, i: a number of registered users, n: a number of periodic signals, {overscore (fi)}:a sample value of i-th template, fn:a sample value of n-th periodic signal. 3. The apparatus as claimed in claim 2, wherein {overscore (fi)}(t) is a value obtained by averaging a plurality of periodic signals obtained from an i-th registered user. 4. The apparatus as claimed in claim 1, wherein the periodic signal is expanded to a 35 harmonic Fourier series. 5. The apparatus as claimed in claim 1, wherein the template is one of sample values, Fourier coefficients, or Fourier coefficients spectrums. 6. The apparatus as claimed in claim 1, wherein the input bio signal is an electrocardiogram signal. 7. A biometric apparatus, comprising: an ADC (analog-to-digital converter) sampling an input bio signal to convert the sampled bio signal into a digital signal; a periodic signal extractor for extracting a plurality of periodic signals from the digital signal; a periodic signal analyzer expanding the period signals to Fourier series to obtain Fourier coefficients for the periodic signals; a template storing portion registering a plurality of users and storing Fourier coefficients of periodic signals for the respective registered users in form of templates; and a comparator computing similarity between values outputted from the periodic signal analyzer and the respective templates to select a template whose similarity is greatest and recognizing a user who corresponds to the selected template as a user who corresponds to the input bio signal. 8. The apparatus as claimed in claim 7, wherein the similarity is computed as distances between the values outputted from the periodic signal analyzer and the respective templates, as given by the following equation: where, i=a number of the registered users, n=a number of the periodic signals, {overscore (ci)}:i-th template Fourier coefficient, cn: Fourier coefficient of n-th periodic signal. 9. The apparatus as claimed in claim 8, wherein {overscore (ci)} is a value obtained by averaging the Fourier coefficients for a plurality of periodic signals obtained from an i-th registered user. 10. The apparatus as claimed in of claim 7, wherein the periodic signal analyser further obtains Fourier coefficient spectrums by applying Fourier transform to the Fourier coefficients, and the template storing portion stores the Fourier coefficient spectrum for each of the registered users as the template. 11. The apparatus as claimed in claim 10, wherein if the values outputted from the periodic signal analyser are the Fourier coefficient spectrums, the similarity is computed as distances between the Fourier coefficient spectrums and the respective templates, as given by the following equation: where, i: a number of the registered users, n: a number of the periodic signals, {overscore (Fi)}:i-th template Fourier coefficient spectrum, Fn: Fourier coefficient spectrum of n-th periodic signal. 12. The apparatus as claimed in claim 11, wherein {overscore (Fi)} is a value obtained by averaging the Fourier coefficient spectrums for a plurality of periodic signals obtained from an i-th registered user. 13. The apparatus as claimed in claim 7, wherein the periodic signal is expanded to a 35 harmonic Fourier series. 14. The apparatus as claimed in claim 7, wherein the template is one of sample values, Fourier coefficients, or Fourier coefficients spectrums. 15. The apparatus as claimed in claim 7, wherein the input bio signal is an electrocardiogram signal. 16. The apparatus as claimed in claim 7, the comparator authenticates the user if the computed distance between template values of a user selected as an authentication target from the template storing portion if in case of 1:1 authentication. 17. The apparatus as claimed in claim 7, the comparator recognizes the user as a user who corresponds to a template whose distance between values stored in the template storing portion and values outputted from the periodic signal analyzer is smallest. 18. A biometric method, comprising: detecting a bio signal containing periodic signals from a user and sampling the bio signal to convert the sampled bio signal to a digital signal; extracting a plurality of periodic signals from the digital signal; reading templates from a template storing portion in which a plurality of users are registered and storing periodic signals for the respective registered users in a form of templates and computing similarity between the templates and the periodic signals of the user, respectively; and recognizing a user that corresponds to a template whose similarity is greatest as the user. 19. The method as claimed in claim 18, wherein the similarity is computed as distances between the periodic signals and the respective templates, as given by the following equation: where, i: a number of the registered users, n: a number of the periodic signals, {overscore (fi)}: sample value of i-th template, fn: sample value of n-th periodic signal. 20. The method as claimed in claim 19, wherein {overscore (fi)}(t) is a value obtained by averaging a plurality of periodic signals obtained from an i-th registered user. 21. The method as claimed in claim 18, wherein the extracting of the plurality of periodic signals further comprises obtaining the Fourier coefficients for the plurality of periodic signals, respectively, and the template storing portion stores corresponding Fourier coefficients for each registered user in a form of the templates. 22. The method as claimed in claim 21, wherein the similarity is computed as distances between the Fourier coefficients and the respective templates, as given by the following equation: where, i=a number of the registered users, n=a number of the periodic signals, {overscore (ci)}:i-th template Fourier coefficient, cn: Fourier coefficient of n-th periodic signal. 23. The method as claimed in claim 22, wherein {overscore (ci)} is a value obtained by averaging the Fourier coefficients for a plurality of periodic signals obtained from an i-th registered user. 24. The method as claimed in claim 21, further comprising an applying of a Fourier transform to the Fourier coefficients to obtain Fourier coefficient spectrums, wherein the template storing portion stores corresponding Fourier coefficient spectrums for each registered user in a form of the templates. 25. The method as claimed in claim 24, wherein the similarity is computed as distances between the Fourier coefficient spectrums and the respective templates, as given by the following equation: where, i: a number of the registered users, n: a number of the periodic signals, {overscore (Fi)}: i-th template Fourier coefficient spectrum, Fn: Fourier coefficient spectrum of n-th periodic signal. 26. The method as claimed in claim 25, wherein {overscore (Fi)} is a value obtained by averaging the Fourier coefficient spectrums for a plurality of periodic signals obtained from an i-th registered user. 27. The apparatus as claimed in claim 18, wherein the periodic signal is expanded to a 35 harmonic Fourier series. 28. The apparatus as claimed in claim 18, wherein the template is one of sample values, Fourier coefficients, or Fourier coefficients spectrums. 29. The apparatus as claimed in claim 18, wherein the input bio signal is an electrocardiogram signal. 30. A computer-readable recording medium for recording a program executing a recognition method, comprising: detecting a bio signal containing periodic signals from a user and sampling the bio signal to convert the sampled signal into a digital signal; extracting the periodic signals from the digital signal; reading templates from a template storing portion in which a plurality of users are registered and storing periodic signals for the respective registered users in a form of templates and computing similarity between the templates and the periodic signals of the user, respectively; and recognizing a user that corresponds to a template whose similarity is greatest as the user. 31. A method, comprising: sampling a periodic bio signal; comparing the periodic bio signal to stored signal templates; and recognizing a user producing the periodic bio signal responsive to the comparing.