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Biological feature recognition method applied to smart city technology field

A technology in the field of biometric identification and technology, applied in the field of biometric identification, can solve problems such as visual impairment, and achieve the effects of avoiding noise interference, reasonable design, and high matching accuracy

Inactive Publication Date: 2015-11-18
CHENGDU YISIKE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Changing the appearance of the iris requires very delicate surgery and risks visual damage

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] A biometric identification method applied in the field of smart city technology, using a camera to capture eye images, then preprocessing the captured eye images, and analyzing the iris features of the iris images obtained after preprocessing, after analysis and processing The final iris feature is pattern-matched with the iris feature stored in the iris feature library, and finally the recognition result is obtained; including the following specific steps:

[0034] 1) Eye pattern shooting, using an iris camera to capture eye images with clearer details.

[0035] 2) Iris positioning, determining the inner and outer edges of the iris, including the following specific steps:

[0036] 2-1) First take the gray average value of the eye image taken in step 1) as the scale to obtain the binarized image of the eye image;

[0037] 2-2) Then select an appropriate smaller threshold to roughly define the boundary of the pupil;

[0038] 2-3) Determine the edge range of the pupil m...

Embodiment 2

[0048] This embodiment is further optimized on the basis of the above embodiments. Further, in order to better realize the present invention, when performing pattern matching based on the phase correlation algorithm of low-pass filtering and Fourier spectrum, the low-frequency part information is used for For pattern matching, when it is the iris image of the same person, the maximum value of the phase correlation function is 1.

[0049] Take the low-frequency part information for pattern matching to avoid the adverse effect caused by the noise interference of the high-frequency part of the image information. This method can obtain better results. It has been verified that the iris images of the same person are consistent, and the phase correlation function The maximum value of the amplitude is 1, but the results of comparing the iris images of different people are messy and irregular.

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/19G06V40/193G06V40/197G06V40/18
Inventor 姜迪蛟
Owner CHENGDU YISIKE TECH
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