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A Fingerprint Registration Method Based on Image Field and Mean Square Error

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Intelligence Science and Big Data Engineering (IScIDE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10559))

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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.

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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References

  1. Zhang, H.: Study and implementation of automatic fingerprint recognition technology. In: URKE, vol. 2, pp. 40–43 (2011)

    Google Scholar 

  2. Shareef, M.P., Reshma, K.V., Nair, A.T., Abraham, N.: Efficient registration via fingerprints combination. In: ICCSP, vol. 10, pp. 1540–1544 (2014)

    Google Scholar 

  3. Springer Science Business Media: Image Field. Springer, Heidelberg (2014)

    Google Scholar 

  4. Ramos, D., Krish, R.P., Fierrez, J., Garcia, J.O.: Pre-registration of latent fingerprints based on orientation field. IET Biom. 4(2), 42–52 (2015)

    Article  Google Scholar 

  5. Feng, J., Zhou, J., Yang, X.: Method for registering fingerprint image (2016)

    Google Scholar 

  6. Srivastava, D.K., Shrivastava, A.: Fingerprint identification using feature extraction: a survey. In: IC3I, vol. 2, pp. 522–525 (2015)

    Google Scholar 

  7. Carneiro, F., Bessa, J.A., de Moraes, J.L., Neto, E.C., De Alexandria, A.R.: Techniques of binarization, thinning and feature extraction applied to a fingerprint system. Int. J. Comput. Appl. 103(10), 1–8 (2014)

    Google Scholar 

  8. Maes, F., Loeckx, D., Vandermeulen, D., Suetens, P.: Image registration using mutual information. In: Paragios, N., Duncan, J., Ayache, N. (eds.) Handbook of Biomedical Imaging, pp. 295–308. Springer, Boston, MA (2015). doi:10.1007/978-0-387-09749-7_16

    Google Scholar 

  9. Shamai, S., Guo, D., Verdu, S.: Mutual information and minimum mean-square error in gaussian channels. IEEE Trans. Inf. Theory 51(4), 1261–1282 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  10. Powell, M.: Approximation Theory and Methods. Cambridge University Press, Cambridge (2015)

    Google Scholar 

  11. Singh, K., Rajiv, K.: Image enhancement using exposure based sub image histogram equalization. Pattern Recognit. Lett. 36(1), 10–14 (2014)

    Article  MathSciNet  Google Scholar 

  12. Chang, J., Chen, D.H., Guo, L., Hai, L.T.: Method for fingerprint image binarization using difference. J. Comput. Appl. 27(1), 169–171 (2007)

    Google Scholar 

  13. Prabhu, L., Sakthivel, N.: Meanmedian filtering for impulsive noise removal. Int. J. Basics Appl. Sci. 02(04), 47–57 (2014)

    Google Scholar 

  14. Zheng, H., Xu, J., Xu, L., Du, Y., Song, H.: Enhancement algorithm for structured-light stripe image based on orientation and frequency fields constraint. Comput. Sci. (2014)

    Google Scholar 

  15. Sastry, C.S., Ravindranath, M., Pujari, A.K., Deekshatulu, B.L.: A modified gabor function for content based image retrieval. Pattern Recognit. Lett. 28(2), 293–300 (2007)

    Article  Google Scholar 

  16. Li, S., Zeng, W., Wu, H.: Translation, rotation and scaling changes in image registration based affine transformation model. Infrared Laser Eng. 30, 18–20 (2001)

    Google Scholar 

  17. Mulekar, M.S., Brown, C.S.: Distance and Similarity Measures. Springer, New York (2014)

    Book  Google Scholar 

  18. Iwasaki, M.: Image classification method, image feature space displaying method, program, and recording medium (2004)

    Google Scholar 

  19. Atwal, G.S., Kinney, J.B.: Equitability, mutual information, and the maximal information coefficient. Proc. Natl. Acad. Sci. U.S.A. 111(9), 3354–3359 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  20. Wilson, C.L., Watson, C.I.: NIST special database 4, fingerprint database. National Institute of Standards and Technology Advanced Systems Division Image Recognition Group (1992)

    Google Scholar 

  21. Moghari, M.H., Ma, B., Abolmaesumi, P.: A theoretical comparison of different target registration error estimators. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008 Part II. LNCS, vol. 5242, pp. 1032–1040. Springer, Heidelberg (2008). doi:10.1007/978-3-540-85990-1_124

    Chapter  Google Scholar 

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Correspondence to Sheng Lan or Zhenhua Guo .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67776-7

  • Online ISBN: 978-3-319-67777-4

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