Research on Palmprint Identification Method Based on Quantum Algorithms
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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%.
American Psychological Association (APA)
Li, Hui& Zhang, Zhanzhan. 2014. Research on Palmprint Identification Method Based on Quantum Algorithms. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050543
Modern Language Association (MLA)
Li, Hui& Zhang, Zhanzhan. Research on Palmprint Identification Method Based on Quantum Algorithms. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1050543
American Medical Association (AMA)
Li, Hui& Zhang, Zhanzhan. Research on Palmprint Identification Method Based on Quantum Algorithms. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1050543
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050543