A Finger Vein Image Recognition Method Based on Hypergranulation Quotient Space Model
A finger vein and image recognition technology, applied in the field of image recognition, can solve problems such as the application of quotient space models that have not yet been seen, and achieve the effect of improving computing efficiency and improving recognition efficiency
Inactive Publication Date: 2019-03-19
CIVIL AVIATION UNIV OF CHINA
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However, the application of the quotient space model in finger vein image recognition has not been seen so far.
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[0038] The finger vein image recognition method based on the hyperspheroidized quotient space model provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0039] The finger vein image recognition method based on the hyperspheroidal quotient space model provided by the present invention comprises the following steps carried out in order:
[0040] 1) Divide all the finger vein ROI images collected into two parts, one part is used as a training sample set, and the other part is used as a test sample set, and then classify all the finger vein ROI images above, and give a category label, if some finger vein ROI The images are from the same finger, and the category labels are the same;
[0041] For example, in the present invention, a total of 10 finger vein ROI images of the same finger (right index finger) of 500 people are collected, a total of 5000, of which 3500 are used as a training sample ...
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A finger vein image recognition method based on a hyperspheroidized quotient space model. It includes dividing the finger vein ROI image into training and testing sample sets; normalizing the image size; filtering with anisotropic filter and median filter; using PCA to reduce the dimension of the image; The ROI image after preprocessing and PCA dimension reduction is used as a sample and represented by a hypersphere in the high-dimensional space, the sample is granulated, and a hierarchical structure is constructed; the distance metric function is selected, and through this function Calculating the distance between the sample to be tested in the test sample set and each granule in the granule set, thereby identifying the category of the sample to be tested, etc. The method of the present invention has the following advantages: it can avoid the process of forming a matrix first, and directly form a layered hierarchical structure by setting different granulation radii for granulation, so that the calculation efficiency is greatly improved, and it is successfully applied to vein image recognition, greatly improving the recognition efficiency.
Description
technical field [0001] The invention belongs to the technical field of image recognition, in particular to a finger vein image recognition method based on a hyperspheroidized quotient space model. Background technique [0002] At present, due to the low security of traditional biometric identification technology, it cannot meet people's needs for high-precision identification. With the development of biometric identification technology, finger vein recognition technology has many advantages as a new type of biometric identification technology. First of all, finger veins are recognized in vivo, and the vascular network structure of different people is almost unchanged for life after adulthood; secondly, finger veins are internal features, and there is no recognition obstacle caused by any external factors (such as: wear, etc.); The vein collection system is non-contact, and there is no problem of easy theft. [0003] A recognized feature of human intelligence is that people...
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IPC IPC(8): G06K9/00G06K9/32G06K9/62
CPCG06V40/10G06V40/14G06V10/25G06F18/24G06F18/214
Inventor 杨金锋刘之源
Owner CIVIL AVIATION UNIV OF CHINA