Author(s)

Xinyue Zhang ¹

Affiliation(s)

¹ School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China

Corresponding Author

Xinyue Zhang

ABSTRACT

This paper establishes a fingerprint matching algorithm based on composite gradient vectors. After pre-processing the fingerprint image, rotating it, sampling the base vectors, forming vector clusters from the base vectors, creating extreme gradient vectors, fusing composite gradient vectors and other processes, establishing the constraint relationship between local features, carrying out the principle analysis of fingerprint image retrieval and matching, and giving a complete and clear framework of image retrieval model and implementation method.

KEYWORDS

Composite gradient vectors, vector clusters, extremely large gradient vectors, fingerprint matching algorithms

CITE THIS PAPER

Xinyue Zhang, Fingerprint Matching Algorithm based on Composite Gradient Vectors. Journal of Image Processing Theory and Applications (2022) Vol. 5: 21-28. DOI: http://dx.doi.org/10.23977/jipta.2022.050104.

REFERENCES

[1] Wang Yiming. Research on fingerprint quality assessment and matching algorithm[D]. Shandong University, 2017.
[2] Bian Z. Research on fingerprint matching and localization technology based on machine learning algorithm[D]. Beijing University of Posts and Telecommunications, 2017.
[3] Che Ronglu. Research on feature extraction and matching algorithm of fingerprint image[D]. Yanshan University, 2014.
[4] Ping Jianchuang. Research on fingerprint recognition preprocessing and matching algorithm [D]. University of Electronic Science and Technology, 2013.
[5] Hu Chaofeng. Research on Fingerprint Image Preprocessing and Matching Algorithm [D]. Wuyi University, 2012.
[6] Gui Ke. Fingerprint Image Processing and Matching Algorithm Research [D]. Wuhan University of Technology, 2010.

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