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AUTHOR(S):
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TITLE Biometric Identification Through Tongue Texture Measurements |
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ABSTRACT This paper proposes a method of personal identification based on tongue image. Tongue image have many advantage for personal identification and verification. In this paper a texture tongue features are extracted based on steerable filters and WLD (Weber Law Descriptors) transform. These features can be used in forensic applications and with other robust biometrics features can combined multi modal biometric system. |
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KEYWORDS Tongue image, Steerable filters, Weber Law Descriptors |
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REFERENCES [1] Feeman, W.T., Adelson, E.H.: The design and use of steerable filters, IEEE Trans. on Pattern Analysis and Machine Intelligence, 13(9), pp. 891 – 906, 1991. [2] Jacob, M., Unser, M.: Design of steerable filters for feature detection using Canny-like criteria, IEEE Trans. on Pattern Analysis and Machine Intelligence, 26(8), pp. 1007 – 1019, 2004. [3] Chen, J., Shan, S., He, C., Zhao, G., Pietikinen, M., Chen, X., and Gao, W.: WLD: A robust local image descriptor, IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9), pp. 1705 – 1720, 2009. [4] Jain, A.K.: Fundamentals of a Digital Signal Processing, Prentice-Hall, Englewood Clifts, NJ., 1989. [5] Zhang, D., Liu, Z., Yan, J.,Shi, P.: Tongue-print: A novel biometrics pattern, ICB 2007, Springer-Verlag LNCS 4642, pp. 1174 – 1183, 2007. [6] Lahmiri, S.:Recognition of tongueprint textures for personal aAuthentication: A wavelet approach, Journal of Advances in Information Technology, vol.3 ,no.3, pp. 168 – 175, 2012. |
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Cite this paper Ryszard S. Choras. (2016) Biometric Identification Through Tongue Texture Measurements. International Journal of Computers, 1, 73-77 |
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