Palm print database search method based on quantum algorithms
A search method and database technology, applied in the field of biometric identification, can solve the problems of poor accuracy and low search rate of classic palmprint, and achieve the effects of improved search accuracy, faster feature extraction speed, and strong filtering ability
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[0032] The present invention is a search method for a palmprint database based on a quantum algorithm, and the whole principle diagram of the inventive method is as follows: figure 2 As shown, the system works as follows:
[0033] A palmprint image is extracted from the palmprint database such as image 3 As shown, the palmprint image after segmentation and normalization is as follows Figure 4 shown. Next, filter the palmprint image. Classical preprocessing methods mainly include histogram equalization, median filtering, mean filtering and Gaussian filtering. The invention adopts a quantum self-adaptive algorithm to preprocess the palmprint, and the method uses a quantum signal processing framework to establish a median filter principle based on the idea of quantum measurement and collapse.
[0034] Quantum signal processing frameworks such as Figure 5 as shown, with for input and output signals, represents a classical signal processing algorithm, with Repre...
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