Back-of-hand vein line extraction method based on local maximum between-class variance and mathematical morphology

A mathematical morphology, local maximum technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as reducing the performance of finger vein recognition, reducing the saliency and robustness of vein features on the back of the hand, and uneven image contrast.

Active Publication Date: 2016-02-17
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, because the veins are hidden inside the skin, the image contrast is extremely uneven, and weak lines and lines with low contrast are easily lost during image segmentation, which reduces the salience and robustness of the vein features on the back of the hand, thereby reducing the performance of finger vein recognition.

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  • Back-of-hand vein line extraction method based on local maximum between-class variance and mathematical morphology
  • Back-of-hand vein line extraction method based on local maximum between-class variance and mathematical morphology
  • Back-of-hand vein line extraction method based on local maximum between-class variance and mathematical morphology

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Embodiment Construction

[0036] The present invention proposes a hand vein pattern extraction method based on the local maximum between-class variance and mathematical morphology. The variance method quickly calculates the optimal segmentation threshold for image segmentation; finally, the open operation of mathematical morphology is used to filter out noise, the closed operation is used to repair some broken veins, and the hit and miss transformation of mathematical morphology is used to refine the image. The specific steps are:

[0037] Step1: Image preprocessing,

[0038] Step2: Image segmentation,

[0039] Step3: Mathematical morphology processing.

[0040] The invention can extract complete and clear dorsal vein lines, lays a foundation for realizing reliable identification of dorsal hand veins, and can be widely used in intelligent access control systems.

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Abstract

The invention relates to a back-of-hand vein line extraction method based on the local maximum between-class variance and the mathematical morphology. The extraction method comprises steps of firstly carrying out normalization processing for images and cutting region of interest; rapidly calculating the optimal segmentation threshold for each of pixel points by use of the maximum between-class variance method and then segmenting images; and finally filtering noise by use of the opening operation of the mathematical morphology, repairing some fractured veins by use of the closed operation and thinning the images by use of the hit-or-miss transform of the mathematical morphology. In this way, complete and clear back-of-hand vein lines can be extracted; it can be achieved that foundation is laid for reliable identification of back-of-hand vein lines; and the extraction method can be widely applicable for intelligent access control systems.

Description

technical field [0001] The invention relates to a method for extracting vein lines on the back of a hand based on local maximum inter-class variance and mathematical morphology, and belongs to the technical field of security biological feature recognition. Background technique [0002] Vein recognition is currently a research hotspot in the field of biometric identification. Its main advantage is that veins are hidden inside the body and are not easy to be copied, stolen or interfered with. It can be widely used in the fields of access control and attendance in banks, offices, shopping malls and other places, and has great theoretical research significance and market application value. Currently, vein recognition mainly includes finger vein recognition, palm vein recognition and hand vein recognition. Compared with finger veins, veins on the back of the hand have richer features, are less affected by rotation changes, and are more significant and robust; compared with palm ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/30101
Inventor 谢剑斌刘通闫玮李沛秦
Owner NAT UNIV OF DEFENSE TECH
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