Fingerprint Matching Algorithm Based on Fuzzy Similarity

Gui Liang Zhu; Rui Fang Song; Xiao Qiang Zhang; Xue Hui Fan

doi:10.4028/www.scientific.net/AMR.433-440.3495

Paper Titles

Distribution Calculation of Harmonics and Unbalance in Power System Including Railway Traction Substations
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The Research of Algorithms for Fingerprint Characteristic Extraction and Matching
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Comparison of Three Rapid Transfer Alignment Algorithms
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Study on 3-D Finite Element Analysis of Earth Dam
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Fingerprint Matching Algorithm Based on Fuzzy Similarity
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SOADL-EH: Service-Oriented Architecture Description Language Supporting Exception Handling
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Two-Person Zero-Sum Stochastic Differential Games for Discrete-Time Systems
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Crosstalk Simulation Based on Full Wave S-Parameter Extraction Method between High-Speed Signals
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User-Defined Report Design and Implementation
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Fingerprint Matching Algorithm Based on Fuzzy...

Fingerprint Matching Algorithm Based on Fuzzy Similarity

Abstract:

For the low efficiency and high complexity of previous fingerprint matching algorithms, a fingerprint matching algorithm based on the fuzzy close-degree is proposed. It takes the turning point, bifurcation point, the number of ridge line between two points in the fingerprint image and so on as the feature of the object. The new algorithm can improve the accuracy of fingerprint matching. Finally, we point out that the performance of this new algorithm is slightly influenced by the environment factor in pratice, such as the shift and rotation of the fingerprint.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

3495-3499

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.3495

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Online since:

January 2012

Authors:

Gui Liang Zhu, Rui Fang Song, Xiao Qiang Zhang, Xue Hui Fan

Keywords:

Fingerprint Identification, Fingerprint Matching, Fuzzy Similarity

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References

[1] Yelin Wang, Xinbao Ning and Yilong Yi, A new fingerprint matching algorithm, Journal of image and graphics, vol. 2, 2003, pp.203-209.

Google Scholar

[2] Huaqiang Yuan, Yangdong Ye and Jianguang Deng. Fingerprint matching algorithm based on fiducial point, computer engineering, vol. 34, 2008, p.241 –243.

Google Scholar

[3] Jin Duan, Automaton recognition of the face, science press, 2009, pp.96-100.

Google Scholar

[4] Zhijian Xie, Chengping Liu, The methods and application of fizzy maths, the press of huazhong university of science and technology, 2008, p.61–122.

Google Scholar

[5] Lili Feng, Changxi Li, Fingerprint matching algorithm based on finger core, Journal of huazhong university of science and technology, vol. 30, 2002, pp.78-80.

Google Scholar

[6] Mantao Wang, Lei Meng. A new conjugate direction search method of the fingerprint , The information of the science, vol. 24, 2005, pp.14-16.

Google Scholar

[7] Ying Zeng, Guocai Wang, and Tao Li. Research and implementation of a novel fingerprint matching method of minutiae, computer measurement and control, vol. 15, 2007, pp.959-960.

Google Scholar

[8] Haiyan Chai, Dongping Tian and Jiulun Fan, Fingerprint minutia matching algorithm based on similar triangle theory, communications technology, vol. 42 , 2009, pp.57-59.

Google Scholar