Abstract
Fingerprint registration is an important step in the technology of fingerprint identification. Image field is often used for feature extraction in fingerprint registration, however, the accuracy can not be guaranteed due to the selection of feature points. On the other hand, methods based on mutual information are widely used in the field of image registration because of the high precision, but the speed is slow owing to the complexity of calculating mutual information. By sharing the advantages and overcoming shortcomings of the image field and mutual information methods, this paper presents an improved method of fingerprint registration based on image field and mean square error (MSE). First, we calculate the image field to obtain clear ridges and valleys of the image, and then replace the mutual information with MSE, we globally search the spatial transformation parameters for image registration. The experimental results show effectiveness of the proposed algorithm.
Keywords
S. Lan—This work is partially supportted by the Natural Science Foundation of China (NSFC) (No. 61527808) and Shenzhen fundamental research fund (subject arrangement) (Grant No. JCYJ20170412170438636).
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Lan, S., Guo, Z. (2017). A Fingerprint Registration Method Based on Image Field and Mean Square Error. In: Sun, Y., Lu, H., Zhang, L., Yang, J., Huang, H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science(), vol 10559. Springer, Cham. https://doi.org/10.1007/978-3-319-67777-4_47
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DOI: https://doi.org/10.1007/978-3-319-67777-4_47
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