Finger vein blood vessel network restoration method based on fractal features

A finger vein and fractal feature technology, applied in the field of finger vein vascular network repair based on fractal features, can solve problems such as the loss of finger vein structure features, and achieve the effect of improving the recognition performance

Active Publication Date: 2019-03-26
CIVIL AVIATION UNIV OF CHINA
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Problems solved by technology

Therefore, compared with other traditional biometrics (such as fingerprints, faces, irises, etc.), the loss of finger vein structu

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  • Finger vein blood vessel network restoration method based on fractal features
  • Finger vein blood vessel network restoration method based on fractal features
  • Finger vein blood vessel network restoration method based on fractal features

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Embodiment Construction

[0054] The fractal feature-based finger vein vascular network repair method provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0055] Such as figure 1 As shown, the finger vein vascular network repair method based on fractal features provided by the present invention includes the following steps carried out in order:

[0056] 1) Perform edge detection, interception and size normalization processing on the finger vein image to obtain the original finger vein image;

[0057] Use the finger vein collection device to collect finger vein images, then perform edge detection on all collected finger vein images and capture the complete image based on the edge with the smallest width, and then normalize the size to 80×220 as the original finger vein image .

[0058] 2) Preprocessing the original finger vein image to obtain a finger vein vascular network image;

[0059] Since the above-mentione...

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Abstract

The invention discloses a finger vein blood vessel network restoration method based on fractal features. The method comprises the following steps of: intercepting a full-finger image of a collected image, marking an ROI (Region of Interest) area, and normalizing the intercepted image into 80 * 220; Preprocessing the finger vein image through simple filtering, Gabor image enhancement, binaryzationand refinement to obtain a vascular skeleton image; Based on the fractal theory, obtaining fractal features represented by length ratio distribution of father and son blood vessels of a branch structure from the structural features of the finger vein blood vessel network; Pre-repairing the finger vein structure information by using the Gabor enhanced directional diagram as a priori condition, andextracting more accurate fractal features on the basis of the pre-repairing; And predicting the length to be repaired for the blood vessel segment to be repaired based on the obtained fractal featuresand simulating the growth form of the blood vessel. According to the method, defect information of a large area can be repaired, fractal characteristics of a blood vessel network can be repaired, themethod is successfully applied to vein image recognition, and the recognition performance is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of finger vein image restoration, in particular to a method for repairing finger vein vascular network based on fractal features. Background technique [0002] At present, with the rapid development of information technology and the Internet, people pay more and more attention to information security and identity authentication, so identity recognition technology based on individual characteristics emerges as the times require. The physiological features of the human body mainly include fingerprints, irises, faces, finger veins, palm prints, etc. Compared with other features, finger veins have the following advantages: (1) Finger veins are alive and cannot be faked; (2) They are internal features , is not affected by finger surface damage and environmental (temperature, humidity) changes, and has stable characteristics; (3) It is convenient and uses non-invasive and non-contact methods for image acquisition....

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T7/13
CPCG06T5/005G06T7/13G06T2207/30101
Inventor 贾桂敏李振娟杨金锋
Owner CIVIL AVIATION UNIV OF CHINA
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