Method for extracting palm vein effective region

Abstract

The invention provides a method for extracting a palm vein effective region. The method comprises the steps of S1, preprocessing images, S2, searching image features. A effective area is calibrated ona palm, a stable palm feature area is obtained, interference factors of invalid features such as a background and a palm contour on recognition are prevented, the algorithm difficulty during palm vein recognition is reduced, the recognition speed and the passing rate are increased, and the use experience of a user is improved; the problem that the same palm obtains different characteristics due to image change caused by distance, palm rotation and movement is solved, and a stable effective area can still be obtained under the condition that a palm fixing frame device is not used.

Description

technical field [0001] The invention relates to the field of human body biometric identification, in particular to a method for extracting effective areas of palm veins. Background technique [0002] Palm vein recognition is a new biometric identification technology, which is mainly used in personal identification. Compared with human fingerprints, palm veins not only have a high degree of uniqueness, but also have more prominent liveness, anti-counterfeiting and feature stability. Identity authentication has higher security. All people have veins that are different, even twins who look alike have different patterns of veins. [0003] In palm vein recognition, it is usually necessary to obtain a personal palm vein distribution map, and identify the user through the matching degree of the distribution. The palm vein feature refers to the distribution of veins in the palm of an individual, and the palm vein recognition equipment usually captures a relatively large format , i...

AI Technical Summary

Problems solved by technology

These constituencies that cannot be determined according to the actual situation greatly interfere with the recognition efficiency and matching pass rate

[0004] In addition, the existing technology mainly fixes the palm by placing the palm positioning frame. When the palm is imaged, the fixed area in the center of the image is taken as the palm vein effect area, which cannot be automatically calibrated according to the specific placement of the palm. The pass rate is not high, the matching time is long, and the experience is not good

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