Method for extracting iris features based on pulse couple neural network (PCNN)

A pulse-coupled neural and feature extraction technology, applied in the field of iris recognition technology, can solve the problems that cannot be easily analyzed and cannot be quickly found for improvement, and achieve high recognition rate

Inactive Publication Date: 2012-01-04
LANZHOU UNIVERSITY
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Problems solved by technology

It is not necessary to evaluate the quality of a feature extraction algorithm after a large number of matching and identifications every time, and even if the macro results are obtained, it is not easy to analyze the problem, and of course it is not possible to quickly find an improvement method. , or even do not know what kind of improvement to make, what kind of results will be obtained

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  • Method for extracting iris features based on pulse couple neural network (PCNN)
  • Method for extracting iris features based on pulse couple neural network (PCNN)
  • Method for extracting iris features based on pulse couple neural network (PCNN)

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Embodiment Construction

[0018] The present invention is an iris feature extraction method based on a pulse-coupled neural network (PCNN, Pulse Couple Neural Network) and a cross-cortex model, defines local irregular plaque iris features with clear and intuitive physical meanings, and uses pulse-coupled The neural network extracts iris features, and its specific steps are:

[0019] (1) Identify the features in the two-dimensional iris image, i.e. irregular plaques in the iris image, i.e. crypts, furrows, spots;

[0020] (2) Perform eyelid and eyelash detection and normalization preprocessing on the iris image, specifically the following two steps:

[0021] ① Close to the sclera area of ​​the eye, a certain proportion of the iris area that is greatly affected by the eyelids and eyelashes is directly deleted to minimize the impact of the eyelids and eyelashes on the iris area;

[0022] ② Then use the rubber band method to convert the circular iris area into a rectangular area;

[0023] (3) Enhance the...

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Abstract

The invention relates to a method for extracting iris features based on a pulse couple neural network (PCNN), and belongs to the technical fields of biometric recognition and computer application. The method comprises the following steps of: taking irregular plaques such as recess, furrow, spots and the like in an iris image as intuitive iris features having physical significance; segmenting a pixel set having similar features in the iris image by using pulse couple characteristics of the PCNN or an intersecting cortical model (ICM) and by applying a series of iris enhancement technologies; segmenting out the irregular plaques to obtain a binary segmentation image; and expressing plaques and non-plaques by using 1 and 0, and extracting the iris feature codes.

Description

technical field [0001] The invention relates to a human body identity biometric feature recognition technology and an iris recognition technology. Background technique [0002] The iris is a ring-shaped tissue with a diameter of about 12mm and a thickness of 0.5mm between the black pupil and the white sclera in the human eye. The tissue generally presents a radial structure from the inside to the outside, and there are many interlaced Subtle features in the shape of spots, filaments, crowns, stripes, folds, cellars, etc. A typical iris-based human identification system usually includes several key parts such as iris acquisition, iris positioning, eyelid and eyelash detection, iris image normalization, feature extraction and matching recognition. Among them, feature extraction is the key of the whole system and the core of the whole matching recognition, which directly affects the quality of the whole recognition result. So feature extraction plays an important role in the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 马义德徐光柱张在峰赵荣昌邵宇
Owner LANZHOU UNIVERSITY
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