Finger vein blood vessel network restoration method based on fractal features

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....

AI Technical Summary

Problems solved by technology

Therefore, compared with other traditional biometrics (such as fingerprints, faces, irises, etc.), the loss of finger vein structural features is more serious, which has become an important factor limiting the development of finger vein recognition technology.

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