Abstract
With complex multimedia data, we see the emergence of biometric identification/authentication systems in which the fundamental operation is the similarity assessment of natural information-carrying objects. We have developed a similarity measure JeK, based on new notion of pseudo-entropy. The measure exhibits several features that match experimental findings in multimedia perception. We show how the measure can be used for identification/authentication of complex biometric objects, such as faces and its emotions, voices, and so on. We address the use of the pseudo-entropy measure JeK to deal with relations among the varied properties of 1D, 2D and 3D biometric objects.
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References
Jain., Anil K.: Fundamentals of Digital Image Processing. 4-th edn., Prentice-Hall International, Inc.
Vajda, J.: On the f-Divergence and Similarity of Probability Measures. Period. March. Hung., v. 2, 223–226(1972)
Santini, Simine, Jain, Ramesh: Similarity Measures. IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), vol. 21, No9, 871–883 (Sept 1999)
Pantic, Maja, Rothkrantz, Leon J.A.M.: Automatic Analysis of Face Expressions: The State of the Art. PAMI, vol. 22, No12, 1,425–1,445 (Dec. 2000)
Lyons, Michael J., Budynek, Julien, Akamatsu, Shigeiu: Automatic Classification of Single Facial Images. PAMI, vol. 21, No12, 1,1357–1,362 (Dec. 1999)
Craw, Ian, Costen, Nicholas, Kato, Takashi, Akamatsu, Shigeiu: How Should We Represent Faces for Automatic Recognition?. PAMI, vol. 21, No8, 725–736, (Aug. 1999)
Picard, Rosalind W., Vyzas, Elias, Healey, Jennifer: Towards Machine Emotional Intelligence: Analysis of Affective Physiological State. PAMI, vol. 23, No10, 1,175–1,191 (Oct. 2001)
Kompanets, L.F., Krasnoproshyna, A.A., Malyukov N.N.: Mathematical Base of Research in Automatics and Control. Vyshcha shkola, Kiev (1992, In Russian)
Kompanets L. F.: The computer Criterion JeK for Quality Estimating of Information Transformation. In Intellectualization of Information Messages Processing Systems. The Institute of Mathematics of National Academy of Ukraine Press, No 1, 101–106 (1995, In Russian)
Kompanets L.F.: Introduction to Pseudo-Entropy Quantitative Theory of Information Transformations and/or Technologies. Proc. 3rd Intern. Symposium. “Methods and Models in Automation and Robotics,” Miedzyzdroje, Poland, vol. 2, 665–670 (Sept. 10–13, 1996)
Kompanets, Leonid, Piech, Henryk, Pilarz, Andrzej: Pseudo-Entropy and Beyond. Proc. 2nd Intern. Conf. “Parallel Processing and Applied Mathematics,” Zakopane, Poland (Sept 2–5, 1997)
Kompanets, Leonid: Pseudo-Entropy Measure JeK of Similarity for Biometric Applications. IEEE AutoID’02 Proceedings of 3rd Workshop on Automatic Identification Advanced Technologies. Tarrytown, New York, USA, 142–146 (14–15 Mar. 2002).
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Kompanets, L., Bobulski, J., Wyrzykowski, R. (2002). Pseudo-entropy Similarity for Human Biometrics. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds) Biometric Authentication. BioAW 2002. Lecture Notes in Computer Science, vol 2359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47917-1_8
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DOI: https://doi.org/10.1007/3-540-47917-1_8
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