The invention relates to a multiple-
template matching identity recognition method based on an ECG (Electrocardiogram) under an electrocardiogram
abnormality state, and belongs to the technical field of biological characteristic
identity recognition. The ECG data of a user to be recognized is compared with the data of a
registered user in a
template library to obtain an
identity recognition result. The key technology of the method comprises the following steps: carrying out electrocardiosignal preprocessing for eliminating
noise interference; carrying out electrocardiosignal
decomposition to separate an electrocardiogram waveform of each period; carrying out standardized
processing for independently achieving
standardization on time and amplitude scales; carrying out characteristic extraction: in the step, characteristics are extracted by
wavelet transform, and clustering analysis is carried out by an ISODATA (Iterative Self-organizing
Data Analysis Techniques
Algorithm) so as to construct an ECC
template library; and carrying out
correlation analysis: in the step, correlation between ECG
test data and each template is calculated, an
optimal matching template is selected, and finally, an identity recognition result is obtained. The multiple-
template matching identity recognition method provided by the invention utilizes the intrinsic electrocardiosignal of a
human body to recognize an identity, and the ECG data under the
abnormality state is considered.