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Finger vein image recognition method

A finger vein and image recognition technology, applied in the field of finger vein image recognition, can solve the problems of not considering the commonality of database samples and low recognition efficiency, and achieve the effect of improving the low recognition efficiency

Inactive Publication Date: 2015-12-23
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

[0003] There are many methods for finger vein recognition, but most of the traditional methods do not take into account the commonality between samples from the same individual (category) in the database, and all need to compare the samples to be recognized with all samples in the database without distinction. , so the recognition efficiency is low

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Embodiment Construction

[0036] The finger vein image recognition method provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0037] The finger vein image recognition method provided by the invention comprises the following steps carried out in order:

[0038] 1) Divide all finger vein ROI (region of interest) images to be detected into two parts, one part is used as a training sample, and the other part is used as a test sample, and then all the above images are classified, and a category label is given. If some images come from For the same finger, the category labels are the same.

[0039] In the present invention, any 7 of the 10 finger vein ROI images from the same finger (such as the right index finger) of the same person are selected as training samples, and the other 3 are used as test samples, and these 10 finger vein ROI images are because belong to the same finger, so the category is the same, then the...

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Abstract

The invention provides a finger vein image recognition method, which comprises the steps of: dividing finger vein ROI images into training and testing samples; normalizing image sizes to 46*102 pixels; utilizing a Gabor filter for enhancement; subjecting each pixel point to comparison and selection to obtain an ROI enhanced image; adopting a PCA for reducing dimensionality of the ROI enhanced image; subjecting the ROI enhanced image after dimensionality reduction to hyperspherical granulation to obtain a new granular set; and calculating distance between each large hypersphere in each finger vein ROI image of the testing samples and the new granular set for carrying out steps such as recognition. The finger vein image recognition method adopts the PCA and hyperspherical granulation combined method for granulating and fusing all finger vein ROI images belonging to the same individual into a large hypersphere, and better describes the generality of samples of the same individual acquired at different time. During recognition, the samples to be tested are processed into a hypersphere, and then subjected to distance comparison with the fused large hypersphere.

Description

technical field [0001] The invention belongs to the technical field of biological feature recognition, in particular to a finger vein image recognition method. Background technique [0002] At present, due to the low security of the traditional biometric identification technology, it cannot meet people's needs for high-precision identification. With the development of biometric identification technology, finger vein has many advantages as a new type of biometric identification technology. First of all, finger vein recognition is a living body recognition, and the structure of different human blood vessel networks 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 advanced collection system is non-contact, and there is no problem of easy theft. [0003] There are many methods for finger vein recognition, but most of the traditional methods ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/10G06V40/14
Inventor 杨金锋刘之源师一华贾桂敏
Owner CIVIL AVIATION UNIV OF CHINA
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