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Finger vein image ROI extraction and enhancement method

A technology of finger veins and fingers, applied in image processing and related content fields, can solve problems such as weak exposure, strong exposure, and unbalanced lighting

Active Publication Date: 2020-03-24
HEILONGJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0004] However, due to its special imaging principle, the collected pictures usually have a serious impact on the recognition effect due to the deviation of the user's finger or the noise in the area other than the finger, and the exposure may be too strong or too weak due to the unbalanced illumination of near-infrared light. Case

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  • Finger vein image ROI extraction and enhancement method
  • Finger vein image ROI extraction and enhancement method
  • Finger vein image ROI extraction and enhancement method

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Embodiment Construction

[0013] The first step is to read in the finger vein image, and it is required to place the finger flat on the center of the finger vein collection device; the second step is to perform edge detection on the read finger vein image to obtain only the complete edge of the finger; specific implementation The procedure is as follows: First, Gaussian filtering is performed on the image to remove part of the noise; then the canny edge detection operator is used to select an appropriate threshold to extract the complete finger edge, and the edges that do not meet the requirements are removed.

[0014] The third step is to calculate the offset angle of the finger for the obtained finger edge; the specific implementation method is as follows: according to the finger edge detected in the second step, the coordinates of the left and right sides of the finger are sequentially calculated, and the finger center point is calculated successively to obtain a continuous The curve; then use the le...

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Abstract

The invention discloses a finger vein image ROI extraction and enhancement method. The method comprises two aspects of ROI extraction and image enhancement of a finger vein image. Finger vein image ROI extraction mainly comprises the following steps: reading a finger vein initial image, performing edge detection, removing false edges and noise, and calculating a finger deflection angle; and extracting a finger image, performing rotation correction on the finger image, calculating the center of the finger image, and extracting an ROI image of the finger image. And the image enhancement part ismainly used for sequentially enhancing the ROI image by using adaptive histogram equalization and a bilateral filtering algorithm, so that vein lines in the ROI image are clearer. By using the processing method, the influence of finger offset and uneven illumination of a user on the image quality can be solved, and the processing method plays an important role in subsequent finger vein recognition.

Description

technical field [0001] The present invention relates to a preprocessing stage of a biometric feature recognition technology, and specifically relates to image processing and related contents. [0002] technical background [0003] Finger vein recognition technology is a new type of biometric recognition technology. It was developed based on the principle that blood flowing in human veins absorbs specific infrared wavelengths. Compared with other biometric methods such as fingerprint recognition, face recognition, and iris recognition, finger vein recognition has the advantages of small acquisition device, stable data, and safety. [0004] However, due to its special imaging principle, the collected pictures usually have a serious impact on the recognition effect due to the deviation of the user's finger or the noise in the area other than the finger, and the exposure may be too strong or too weak due to the unbalanced illumination of near-infrared light. Case. Therefore, i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/40G06K9/46G06T7/13
CPCG06T7/13G06V40/10G06V40/14G06V10/30G06V10/44
Inventor 赵冬冬马慧刘逸伦杨泽东
Owner HEILONGJIANG UNIV
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