Biological feature recognition method applied to smart city technology field

Abstract

The present invention discloses a biological feature recognition method applied to the smart city technology field. An eye image is shot by using a camera, and then image pre-processing is performed on the shot eye image. An iris feature of an iris image that is obtained after pre-processing is analyzed. Mode matching is performed on the iris feature that is obtained after analysis processing and an iris feature that is stored in an iris feature base, and finally a recognition result is obtained. Mode matching is performed on an iris benchmark sub-image and an iris real-time image by using a phase correlation algorithm of lowpass filtering and fourier spectrum, and whether matching is successful is determined according to an obtained correlation function, so as to determine whether the iris belongs to a same person. The whole system has features of rational design and scientific use.

Description

technical field

[0001] The present invention relates to biological feature extraction technology, smart city and other technical fields, specifically, a biological feature recognition method applied in the technical field of smart city. Background technique

[0002] A smart city is to use information and communication technology to sense, analyze, and integrate key information of the core system of urban operation, so as to respond intelligently to various needs including people's livelihood, environmental protection, public safety, urban services, and industrial and commercial activities. . Its essence is to use advanced information technology to realize urban intelligent management and operation, thereby creating a better life for the people in the city and promoting the harmonious and sustainable growth of the city.

[0003] Smart city often intersects with regional development concepts such as digital city, sensory city, wireless city, smart city, ecological city, and l...