Finger vein identification method

A finger vein, recognition method technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problem of taking a long time, affecting the image recognition speed and application range, etc., to improve the calculation speed and improve the recognition accuracy. , the effect of improving the recognition speed

Inactive Publication Date: 2014-06-18
710TH RES INST OF CHINA SHIPBUILDING IND CORP
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Problems solved by technology

[0004] Due to the large amount of data in a vein image, it will take a lot of time in the proc

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  • Finger vein identification method

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Embodiment Construction

[0047] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0048] The invention provides a finger vein recognition method. In order to reduce the impact of finger placement on image quality, the present invention adopts the method of multiple placement and collection of the same finger; for the vein image sample set that has been collected, principal component analysis (PCA) and K-means clustering methods are used to reduce the sample size. Dimensionality and complete sample classification; and extract the vein features of the sample image; when identifying, first use the PCA training matrix to reduce the dimensionality of the image to be identified, and then compare it with the K-means clustering center to obtain the closest clustering center, and from the closest The top N most similar samples are extracted from the belonging samples of the clustering center; the vein features of the top N most similar samples a...

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Abstract

The invention discloses a finger vein identification method, which can improve the identification speed. The finger vein identification method comprises the steps of adopting a method of placing and collecting multiple fingers of the same collecting object for multiple times to obtain finger vein images of the collecting object, and preprocessing the finger vein images to obtain sample images; extracting vein characteristics of the sample images; performing principal component analysis PCA operation on the sampling images to obtain a dimensionality reduction vector matrix P1 and a PCA conversion matrix P2; clustering by adopting a K mean value clustering method to obtain J clustering centers by taking each column in the dimensionality reduction vector matrix P1 as one clustering sample. During identification, a conversion vector X' is obtained through multiplying a preprocessed to-be-identified image by P2, the clustering center most similar to X' is found out, and vein characteristics corresponding to partial attribution samples in the clustering center are taken as a comparison basis for being compared with the vein characteristics extracted from the to-be-identified image, so that finger vein identification is realized.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to a finger vein identification method. Background technique [0002] Finger vein recognition technology is a new type of biometric identification technology. Because the user's finger vein characteristics are difficult to be forged, it has a high level of security and is especially suitable for use in places with high security requirements. [0003] The process of finger vein recognition is that the infrared light generated by the infrared light source is irradiated on the finger of the collector, filtered by the filter and reflected by the mirror, and collected by the infrared camera. Vein features are extracted from the collected images, and then feature matching is performed, thus realizing finger vein recognition. [0004] Due to the large amount of data of a vein image, it will take a lot of time in the process of processing, which affects the recogn...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/60
Inventor 郭庆昌汤露胡国兵
Owner 710TH RES INST OF CHINA SHIPBUILDING IND CORP
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