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Method for extracting palm vein features from palm vein image and palm vein recognition method

A vein image and palm vein technology, applied in the field of biometric information identification, can solve problems such as low robustness, low palm vein image processing efficiency, and misidentification.

Inactive Publication Date: 2021-02-19
佛山育脉科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the processing efficiency of the palm vein image by the palm vein recognition system is low, and the processing time for processing a palm vein image to extract the palm vein features is generally as high as 1 second. In palm vein recognition, usually only a single palm vein image of an individual is collected for processing, and the palm vein feature matching process is performed based on the palm vein features extracted from the single palm vein image. However, based on a single palm vein image The palm vein feature extracted from the palm vein feature is used to match the palm vein feature. The matching result is accidental, the recognition effect is unstable, the robustness is not high, and the problem of misidentification is prone to occur.

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  • Method for extracting palm vein features from palm vein image and palm vein recognition method
  • Method for extracting palm vein features from palm vein image and palm vein recognition method
  • Method for extracting palm vein features from palm vein image and palm vein recognition method

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Embodiment 1

[0054] The invention provides a method for extracting palm vein features from palm vein images aiming at the deficiencies of the prior art.

[0055] The method includes as figure 1 steps shown. The subject of the method for extracting palm vein features from palm vein images provided in this embodiment may be a system composed of multiple devices (such as a palm vein recognition system), which can at least realize image preview in the process of palm vein recognition. The processing operation can also realize the entire palm vein recognition process, that is, it can complete the collection of palm vein images, preprocess the collected palm vein images, extract palm vein features from the preprocessed palm vein images, and extract the extracted palm vein images. The palm vein features are matched with the corresponding palm vein features (ie registered palm vein features) extracted and saved in advance. In one implementation, the system can at least include an acquisition ter...

Embodiment 2

[0080] The palm vein images collected by the current palm vein collection equipment may not be clear and accurate, and there may be a lot of redundant information in the images. Solving the above-mentioned problems increases the difficulty of extracting palm vein features from palm vein images in the future, and may also lead to inaccurate palm vein features finally extracted, thereby affecting the matching and recognition effect of palm vein features.

[0081] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides Embodiment 2. Specifically, in the first embodiment above, the step of extracting the image of the region of interest from the collected palm vein image can be as follows Figure 5 shown, including:

[0082] S111: Process the collected palm vein image into a binary black and white image.

[0083]Wherein, the step of executing the subject to process the collected palm vein image into a binary black-and-white image may include: p...

Embodiment 3

[0100] Based on the method for extracting palm vein features from palm vein images provided in the above embodiments, the present invention also provides a palm vein recognition method. In one embodiment, the palm vein recognition method includes the following steps.

[0101] Acquire multiple palm vein images of an authenticated subject.

[0102] Each palm vein image is processed by using the method of extracting palm vein features from palm vein images as provided in the aforementioned embodiment one or two to obtain the palm vein features of each palm vein image, and each palm vein obtained The features are compared with the registered palm vein features of the authentication subject pre-stored in the database, and the palm vein recognition result of the authentication subject is determined according to the matching results corresponding to each palm vein feature obtained by comparison.

[0103] Among them, when comparing each palm vein feature extracted in real time with t...

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Abstract

The invention relates to the field of biological information recognition, in particular to a method for extracting palm vein features from a palm vein image and a palm vein recognition method. The method comprises the following steps: extracting a region-of-interest image from a collected palm vein image; performing enhancement processing on the region-of-interest image to obtain an enhanced region-of-interest image; and extracting direction information from the enhanced region-of-interest image by using six direction filters, and obtaining palm vein features of the palm vein image according to the direction information extracted by the six direction filters. According to the embodiment of the invention, the time consumed for extracting the palm vein features from the palm vein image can be shortened, and the accuracy of the extracted palm vein features is improved.

Description

technical field [0001] The present application relates to the field of biological information identification, in particular to a method and device for extracting palm vein features from palm vein images, and a palm vein recognition method and device. Background technique [0002] Palm vein recognition is a relatively new biometric recognition technology proposed in recent years. The palm vein, that is, the vein in the palm, cannot be replicated due to the pattern of veins, so palm vein recognition is more secure than the currently commonly used fingerprint recognition. [0003] Palm vein recognition system usually includes four parts: palm vein image acquisition, image preprocessing, palm vein feature extraction and palm vein feature matching. The palm vein recognition process can be, for example, real-time collection of the palm vein image of the authentication subject (the individual performing identity authentication) (including the fingers, wrist and background area of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/38
CPCG06V40/10G06V40/14G06V10/25G06V10/28
Inventor 程自昂曾林森
Owner 佛山育脉科技有限公司