G. A. Kukharev, Y. N. Matveev, N. L. Shchegoleva

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In the paper a method of generating of standard type linear barcodes from facial images is proposed. The method is based on use of the histogram of facial image brightness, averaging the histogram on a limited number of intervals, quantization of results in a range of decimal numbers from 0 to 9 and table conversion into the final barcode.
The proposed solution is computationally low-cost and not requires the use of specialized software on image processing that allows generating of facial barcodes in mobile systems, and thus the proposed method can be interpreted as an express method. Results of tests on the Face94 and CUHK Face Sketch FERET Databases showed that the proposed method is a new solution for use in the real-world practice and ensures the stability of generated barcodes in changes of scale, pose and mirroring of a facial image, and also changes of a facial expression and shadows on faces from local lighting. The proposed method is based on generating of a standard barcode directly from the facial image, and thus contains the subjective information about a person's face.

Keywords: cellular automata, genetic algorithms

1. Heeter T.W. Method for verifying human identity during electronic sale transactions. Patent US 5878155. Filing date: 05.09.96. Publication date: 02.03.99.
2. Barcode Tattoos of Scott Blake. Available at: (accessed 19.12.2013).
3. Forczmanski P., Kukharev G., Shchegoleva N.L. An algorithm of face recognition under difficult lighting conditions. Przeglad Elektrotechniczny, 2012, vol. 88, no. 10b, pp. 201–204.
4.  Kukharev G.A., Shchegoleva N.L Sposob raspoznavaniya izobrazhenii lits i sistema dlya ego osushchestvleniya [Face images recognition method of and system for its implementation]. Patent RF, no. 2490710, 2013.
5.  Algoritm formirovaniya shtrikh-koda EAN-8[Algirithm for EAN-8 barcode generating]. Available at: (accessed 19.12.2013).
6.  Dakin S.C., Watt R.J. Biological “bar codes” in human faces. Journal of Vision, 2009, vol. 9, no.4,pp. 1–10.
7. Facial Barcodes Help Us Identify People. Available at: (accessed 19.12.2013).
8.   Querini M., Italiano G.F. Facial recognition with 2D color barcodes. International Journal of Computer Science and Application, 2013, vol. 10, no. 1, pp. 78–97.
9.  Face Recognition Data. Available at: (accessed 19.12.2013).
10. Matveev Y.N. Tekhnologii biometricheskoi identifikatsii lichnosti po golosu i drugim modal’nostyam [Technologies of biometric identification of a person by voice and other modalities]. Inzhenernyi zhurnal: nauka i innovatsii, 2012, no. 3 (3), p. 5.
11. Forczmanski P., Kukharev G. Comparative analysis of simple facial features extractors. Journal of Real-Time Image Processing, 2007, vol. 1, no. 4, pp. 239–255. doi: 10.1007/s11554-007-0030-4
12. Kukharev G.A., Kamenskaya E.I., Matveev Y.N., Shchegoleva N.L. Metody obrabotki i raspoznavaniya izobrazhenii lits v zadachakh biometrii [Methods for face image processing and recognition in biometric applications] Ed. M.V. Khitrov – St. Petersburg, Politekhnika Publ., 2013, 388 p.
13.CUHK Face Sketch FERET Database (CUFSF). Available at: (accessed 19.12.2013).

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