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Non-contact method for extracting region of interest of finger vein sample

A region of interest and finger vein technology, applied in the field of pattern recognition, can solve the problems that the peak of the curve is not obvious, and the precise positioning of ROI cannot be realized.

Active Publication Date: 2013-11-20
HARBIN ENG UNIV
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Problems solved by technology

This method has strict requirements on image quality. For high-quality vein images, there are obvious double peaks at the two finger joints after column direction projection; for low-quality vein images, the peak of the curve is not obvious after column projection, or due to lighting There are many peaks, and the precise positioning of ROI cannot be realized

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  • Non-contact method for extracting region of interest of finger vein sample
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  • Non-contact method for extracting region of interest of finger vein sample

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Embodiment Construction

[0022] Specific embodiments of the present invention will be described in detail below.

[0023] 1. Column-by-column threshold segmentation

[0024] The size of the collected original image is 320×240. It can be seen from Figure 2(a) that the background area accounts for most of the image. Direct processing of the entire image not only increases the amount of calculation and occupies storage space, but also is not conducive to recognition. Therefore, it is necessary to extract the finger area first to reduce the interference of the background area. The thresholding operation of the image can realize the separation of the background and the target object.

[0025] The threshold operation is to put together the pixels larger than a certain threshold on the image to form the target area according to the gray value difference of different pixels; put the pixels smaller than the threshold together to form the background area, so the gray image becomes only two level of binary ima...

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Abstract

The invention provides a non-contact method for extracting a region of interest of a finger vein sample. The method is characterized by carrying out threshold segmentation on a finger vein image column by column by using a maximum variance method, and denoising through the connected domain area and a method of searching the fingertip; fitting a finger centerline by using up and down contour points of a finger, and using the slope of the finger centerline as the basis for rotation and correction; acquiring an effective contour point set of a circular arc by using the characteristic that the fingertip contour approximates a circle, fitting a fingertip circle by using effective contour points to acquire the diameter of the fingertip circle so as to carry out positioning on the region of interest, wherein the transverse width of the region of interest is the fixed width, and the longitudinal width is determined by upper and lower edge inner tangent lines of the finger contour; and finally carrying out dimension normalization on the acquired region of interest. The method provided by the invention gives sufficient consideration to the non-contact finger vein acquisition process and image characteristics, provides a new solution for extracting the region of interest of the finger vein, carries out rotation and correction by using the finger centerline, carries out positioning by using the fingertip circle, and has strong rotation resistance and translation resistance.

Description

technical field [0001] The invention relates to a pattern recognition technology, in particular to a method for extracting a region of interest of a finger vein sample. Background technique [0002] Most of the existing finger vein recognition methods are based on complete finger image information. Directly using the whole finger to process not only requires a large storage space, but also requires a large amount of calculation, and the features are not concentrated, and the recognition rate is low. Compared with the fingertip and finger root, the veins in the middle of the finger are relatively clear and highly differentiated. Using this part of the area as the object of feature extraction is more conducive to classification. Therefore, choose this part as our vein region of interest (Region Of Interest, ROI). [0003] In the patent document filed as 201210051702.3, a "rotation correction-based method for extracting regions of interest in finger vein images" is disclosed, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/00
Inventor 王科俊宋新景左春婷
Owner HARBIN ENG UNIV
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