Abstract
In this paper a novel approach for detecting fingerprint regions with relevant information is presented. This method is based on the capability of the wavelet transform to select image information considering at the same time spatial and frequency domains. The method has been tested with two fingerprint data bases providing excellent results. With this method the fingerprint core can be detected and also the background can be detached, providing an efficient region selection for any feature extraction method, preprocessing and matching algorithms.
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References
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of fingerprint recognition, pp. 83–171. Springer, Heidelberg (2003)
Walker, J.S.: A primer on wavelets and their scientific applications. CRC Press, Boca Raton, USA (1999)
Hatami, S., Hosseini, R., Kamarei, M., Ahmadi, H.: Wavelet based fingerprint image enhancement. In: ISCAS 2005. IEEE International Symposium on Circuits and Systems, vol. 5, pp. 4610–4613 (2005)
Wen, M.- l., Liang, Y., Pan, Q., Zhang, H.-C.: A Gabor filter based fingerprint enhancement algorithm in wavelet domain. In: ISCIT 2005. IEEE International Symposium on Communications and Information Technology. pp. 1468–1471 (2005)
Zhang, W.-P., Wang, Q.-R., Tang, Y.Y.: A wavelet-based method for fingerprint image enhancement. In: Proceedings of 2002 International Conference on Machine Learning and Cybernetics, vol. 4, pp. 1973–1977 (2002)
You, X., Yang, J., Tang, Y.Y., Fang, B., Li, L.: Skeletonization of Fingerprint Based-on Modulus Minima of Wavelet Transform. In: Li, S.Z., Lai, J.-H., Tan, T., Feng, G.-C., Wang, Y. (eds.) SINOBIOMETRICS 2004. LNCS, vol. 3338, Springer, Heidelberg (2004)
Moon, Y.S., Chen, J.S., Chan, K.C., So, K., Woo, K.C.: Wavelet based fingerprint liveness detection. Electronics Letters 41(20), 1112–1113 (2005)
Shuckers, S., Abhyankar, A.: Detecting liveness in fingerprint scanners using wavelets: Results of the test Dataset. In: Maltoni, D., Jain, A.K. (eds.) BioAW 2004. LNCS, vol. 3087, Springer, Heidelberg (2004)
Tico, M., Immonen, E., Ramo, P., Kuosmanen, P., Saarinen, J.: Fingerprint recognition using wavelet features. In: ISCAS 2001. The IEEE International Symposium on Circuits and Systems, vol. 2, pp. 21–24 (2001)
Tico, M., Kuosmanen, P., Saarinen, J.: Wavelet domain features for fingerprint recognition. Electronics Letters 37(1), 21–22 (2001)
Mokju, M., Abu-Bakar, S.A.R.: Fingerprint matching based on directional image constructed using expanded Haar wavelet transform. In: CGIV 2004. Proceedings of International Conference on Computer Graphics, Imaging and Visualization, pp. 149 - 152 (2004)
Fung, Y.-H., Chan, Y.-H.: Fingerprint recognition with improved wavelet domain features. In: Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 33–36 (2004)
Selvaraj, H., Arivazhagan, S., Ganesan, L.: Fingerprint verification using wavelet transform. In: ICCIMA 2003. Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications, pp. 430–435 (2003)
Huang, K., Aviyente, S.: Choosing best basis in wavelet packets for fingerprint matching. In: ICIP 2004. International Conference on Image Processing, vol. 2, pp. 1249–1252 (2004)
Huang, K., Aviyente, S.: Combining generalized Gaussian density and energy distribution in wavelet analysis for texture classification. In: Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 2094–2098 (2004)
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Lindoso, A., Entrena, L., Liu-Jimenez, J. (2007). Wavelet-Based Fingerprint Region Selection. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_49
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DOI: https://doi.org/10.1007/978-3-540-74272-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74271-5
Online ISBN: 978-3-540-74272-2
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