title: Research on palmprint identification method based on quantum algorithms.
abstract: Quantum image recognition is a technology by using quantum algorithm to process the image information. It can obtain better effect than classical algorithm. In this paper, four different quantum algorithms are used in the three stages of palmprint recognition. First, quantum adaptive median filtering algorithm is presented in palmprint filtering processing. Quantum filtering algorithm can get a better filtering result than classical algorithm through the comparison. Next, quantum Fourier transform (QFT) is used to extract pattern features by only one operation due to quantum parallelism. The proposed algorithm exhibits an exponential speed-up compared with discrete Fourier transform in the feature extraction. Finally, quantum set operations and Grover algorithm are used in palmprint matching. According to the experimental results, quantum algorithm only needs to apply square of N operations to find out the target palmprint, but the traditional method needs N times of calculation. At the same time, the matching accuracy of quantum algorithm is almost 100%.
authors.affiliation: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454010, China.
authors.forename: Hui
authors.identifier: 0000-0002-6054-0477
authors.initials: H
authors.lastname: Li
authors.affiliation: School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454010, China.
authors.forename: Zhanzhan
authors.initials: Z
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry; D003878:Dermatoglyphics; D005554:Forensic Medicine; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*
references.citation: IEEE Trans Pattern Anal Mach Intell. 2009 Jun;31(6):1032-47
references.pmid: 19372608