Samsung Electronics Co., Ltd.

Kyeong-seop Kim

Kyung-Ho Kim

Tae-ho Yoon

A biometric identification apparatus and method using bio signals and an artificial neural network, are provided. The biometric identification apparatus includes: a periodic signal extraction unit which extracts one or more periodic signals from an input bio signal; a template calculation unit which calculates a template value using the extracted periodic signals; a template storage unit which stores a plurality of template values corresponding to a plurality of living bodies; and a reading unit which reads the template value that is most approximate to the template value calculated by the template calculation unit from the template storage unit. Accordingly, it is possible to identify a living body by taking into consideration all of the characteristics of bio signals detected from the living body.

Biometric identification apparatus and method using bio signals and artificial neural network

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.

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Chungju-si, South Korea

Kyeong-seop Kim