Method, device and equipment for identifying finger vein data after expansion and storage medium
A finger vein, re-recognition technology, applied in biometric recognition, neural learning methods, character and pattern recognition, etc., can solve the problem of small amount of data and so on
Pending Publication Date: 2020-03-31
WUYI UNIV
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Problems solved by technology
For this reason, the present invention proposes a method, device, equipment and storage medium for recognition after finger vein data expansion, which can solve the problem of less existing data
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[0049] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.
[0050] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc. indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only In order to facilitate the description of the present invention and simplify the description, it does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific ...
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The invention discloses a method, device and equipment for re-identifying finger vein data after expansion and a storage medium. The method comprises the following steps: establishing an adversarial generative network GAN; constructing a siamese network based on a convolutional neural network (CNN); more similar finger vein pictures are generated through the GAN, so that the data is expanded; andtaking the similar finger vein pictures as similar input of the siamese network, so that the siamese network learns a more accurate Euclidean distance Ew, and the Euclidean distance Ew is used for classifying the similar finger vein pictures and the non-similar finger vein pictures. According to the embodiment of the invention, the similar finger vein pictures are used as the input of the GAN; themethod comprises the following steps: generating a plurality of similar pictures by using an Euclidean distance learning algorithm, expanding data, and learning a more accurate Euclidean distance toclassify similar finger vein pictures and non-similar finger vein pictures by using the obtained output pictures as similar inputs of a siamese network, thereby solving the problem of less existing data volume.
Description
technical field [0001] The invention relates to the field of computer application technology, in particular to a method, device, equipment and storage medium for identifying after finger vein data expansion. Background technique [0002] In recent years, as people have higher and higher requirements for the security and accuracy of biometric systems, biometric technology has received more and more attention. As one of many biometric identification technologies, finger vein recognition has become a current research hotspot due to its advantages of non-contact acquisition, live detection, difficult forgery, and low cost. However, due to the difficulty in obtaining finger vein data, there are few existing databases for deep learning, and the amount of data in the database is small. Especially for the siamese classification network, it is necessary to input similar pairs and different pairs for learning. The number is even rarer, which brings difficulties to the improvement of ...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/1365G06V40/10G06V40/14G06N3/045G06F18/241G06F18/214
Inventor 曾军英姜晓伟朱伯远吴海峰秦传波王璠朱京明
Owner WUYI UNIV