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Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2019-19-5-955-958
ALGORITHMS OF COLOR QR CODESFORMATION FOR BIOMETRY TASKS
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Article in Russian
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Abstract
For citation:
Kukharev G.A., Kaziyeva N. Algorithms of color QR codes formation for biometry tasks. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no. 5, pp. 955–958 (in Russian). doi: 10.17586/2226-1494-2019-19-5-955-958
Abstract
Subject of Research. The paper considers an algorithm for the formation of color QR-codes for facial biometrics. Methods. The methods are based on image processing procedures, linear algebra methods and are implemented in MATLAB package environment. Main Results. We present a new graphics object: a color biometric QR code and a method of forming color QR codes in biometrics tasks. An algorithm for its implementation is described, a functional diagram of the device for its implementation is shown, examples of various variants of color biometric QR codes are given. Practical Relevance. The results obtained can be used in practical biometrics and its applications, and for creation of new types of test databases for face images
Keywords: color biometric QR code, color image decomposition, anthropometry, biometric information, QR code generation
References
References
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4. Kaziyeva N., Kukharev G., Matveev Y. Barcoding in biometrics and its development. Lecture Notes in Computer Science, 2018, vol. 11114, pp. 464–471. doi.: 10.1007/978-3-030-00692-1_40
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2. Heeter T.W. Method for verifying human identity during electronic sale transactions. Patent US5878155, 1999.
3. Kukharev G.A., Kaziyeva N., Tsymbal D.A. Barcoding technologies for facial biometrics: state-of-the-art and new solutions. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 1, pp. 72–86. (in Russian). doi: 10.17586/2226-1494-2018-18-1-72-86
4. Kaziyeva N., Kukharev G., Matveev Y. Barcoding in biometrics and its development. Lecture Notes in Computer Science, 2018, vol. 11114, pp. 464–471. doi.: 10.1007/978-3-030-00692-1_40
5. Wang X., Tang X. Face photo-sketch synthesis and recogni- tion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, vol. 31, no. 11, pp. 1955–1967. doi: 10.1109/TPAMI.2008.222
6. CUHK Face Sketch Database (CUFS) Available at: http://mmlab. ie.cuhk.edu.hk/archive/facesketch.html (accessed: 03.04.2019).
