Finger vein recognition method

A recognition method, finger vein technology, applied in biometrics recognition, character and pattern recognition, instruments, etc., can solve problems such as susceptibility, low recognition rate, light, shadow interference, etc., to reduce the rejection rate and false recognition rate , Improve the robustness and accuracy, and the effect of strong anti-interference ability

Active Publication Date: 2016-11-09
GUANGZHOU INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Existing finger vein recognition products have some problems, for example, they are easily interfered by factors such as light and shadow, and there will be certain translation, rotation, distortion, etc. every time the vein is collected.
However, the existing finger vein recognition has cer

Method used

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Embodiment Construction

[0043] In order to make the above objects, features and advantages of the present invention more comprehensible, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be pointed out that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all those skilled in the art can obtain without creative work. Other embodiments all belong to the protection scope of the present invention.

[0044] The finger vein recognition method based on the improved template matching algorithm proposed by the present invention uses a local adaptive threshold for feature extraction according to the shape of the vein of the finger. Rotate and translate the finger, and finally use the improved template matching algorithm based on K-nearest neighbor (K-nearest neighbor) to calculate...

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Abstract

The invention discloses a finger vein recognition method. The method comprises the following steps: S1, a finger image under near infrared light is acquired; S2, preprocessing and denoising are carried out on the acquired finger image, an OSTU threshold method is then adopted to carry out threshold processing or ROI positioning on the finger image, and a finger binary image is acquired; S3, whether rotational distortion interference happens to the finger binary image is judged, and if yes, correction transformation is carried out; S4, a local adaptive threshold is used for carrying out vein feature extraction on the finger binary image, and a vein binary image is acquired; S5, a matching distance between an inputted vein binary image and a registered vein binary image is calculated; and S6, a K nearest neighbor algorithm is used for calculating a recognition result. The method has a strong anti-inteference ability, particularly adverse circumstances such as rotational translation distortion of the image, and at the same time, a false rejection rate and a false accpetance rate can be reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing and biological identification, and in particular relates to a finger vein identification method. Background technique [0002] Hemoglobin has a strong absorption of near-infrared light and other tissues and bones are not too sensitive to near-infrared light. Therefore, when near-infrared light penetrates the finger, there will be some shadows in the veins, and these shadows are the veins. The vein part is under the skin of the human body, it is difficult to be copied and forged, and the finger veins have distinct individual specificity. Therefore, finger vein recognition technology has become an important way of identity authentication. [0003] Finger vein recognition has important application value in identity authentication, entrance and exit management, security monitoring, e-commerce, e-government and other fields, and has become one of the important research areas in biometric reco...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/40G06K9/46G06K9/62
CPCG06V40/10G06V40/14G06V10/243G06V10/443G06V10/30G06V10/25G06F18/22
Inventor 邸思刘跃跃金建陈贤帅杜如虚
Owner GUANGZHOU INST OF ADVANCED TECH CHINESE ACAD OF SCI
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