DOI: 10.17586/2226-1494-2018-18-1-72-86


BARCODING TECHNOLOGIES FOR FACIAL BIOMETRICS: CURRENT STATUS AND NEW SOLUTIONS

G. A. Kukharev, . N. Kaziyeva , D. A. Tsymbal


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Article in русский

For citation: Kukharev G.A., Kaziyeva N., Tsymbal D.A. Barcoding technologies for facial biometrics: current status 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

Abstract
 Subject of Research.Application of barcoding technologies in the tasks of facial biometrics is posed and discussed. We analyze the achievements and estimate the shortcomings of existing solutions and examples of barcode creation according to the face images and the features extracted by them. Method. The ways of the problem implementation are determined and new solutions are presented based on linear (Code 128) and two-dimensional (QR) bar codes, as well as their color variants. The composition and volume of data are considered being used in the facial biometry and related applications: medicine, criminalistics and forensic-medical examination. Among these data there are face images, as well as sets of anthropometric points and additional information to them, information about the phenotype of FI and gender, and, finally, documentary information. Main Results. We have shownthe results of these data "recording and transferring" within the framework of various barcode layouts, as well as the results of their reading and ways of hiding from reading. The proposed color barcodes are defined as "BIO Code 128" and "BIO QR-code". While graphical display and computer memory record, they can be viewed as colored raster images that carry information about the face in each layer. At this, documentary information can be read directly from such color images by standard barcode scanners, and the rest of the information (face image itself, its anthropometric, accompanying parameters) is read and restored after their decomposition into layers R, green and blue.Practical Relevance. The layout variants of the "BIO Code 128" and "BIO QR-code" barcodes and the programs for their generation (written in the MATLAB package environment) can be used in the further studies of the barcoding problem in the tasks of the facial biometrics and its applications.

Keywords: facial biometrics, barcoding, color barcodes, COLOR QR-code, «BIO Code 128», «BIO QR-code», biometrics, medicine, criminology, forensic-medical examination

Acknowledgements. The work was carried out as the part of science research work "Synthesis of emotional speech based on the deep machine learning".

References
 1.       Kukharev G.A. Search of faces images in large databases. Mir Izmerenii, 2009, no. 4, pp. 22–30. (In Russian)
2.       Portyakova N., Kotsur V. The fate of the EU's common biometric base will be decided by May. Available at: https://iz.ru/news/671446(accessed 22.03.2017).
3.       Heeter T.W. Method for verifying human identity during electronic sale transactions. Patent US5878155, 1999.
4.       Soldek J. et al. Image analysis and pattern recognition in biometric technologies. Proc. Int. Conf. on the Biometrics: Fraud Prevention, Enhanced Service. Las Vegas, USA, 1997, pp. 270–286.
5.       Jung E., Kim J., Woo S., Kim S. Simplification of face image using feature points. Proc. 5th Int. Conf. on Soft Computing and Intelligent Systems,SCIS&ISIS. Okayama, Japan, 2010, pp. 1071–1073.
6.       Grillo A., Lentini A., Querini M., Italiano G.F. High capacity colored two dimensional codes. Proc. Int. Multiconference on Computer Science and Information Technology, IMCSIT, 2010, pp. 709–716.
7.       Querini M., Grillo A., Lentini A., Italiano G.F. 2D color barcodes for mobile phones. International Journal of Computer Science and Applications, 2011, vol. 8, no. 1, pp. 136–155.
8.       Querini M., Italiano G.F. Facial biometrics for 2D barcodes. Proc. of the Federated Conference on Computer Science and Information Systems, FedCSIS 2012. Wroclaw, Poland, 2012, art. 6354334, pp. 755–762.
9.       QueriniM., Italiano G.F. Facial recognition with 2D color barcodes. International Journal of Computer Science and Application, 2013, vol. 10, no. 1, pp. 78–97.
10.     Kukharev G.A., Matveev Y.N., Shchegoleva N.L. Creating of barcodes for facial images based on intensity gradients. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2014, no. 3, pp. 88–95. (In Russian)
11.     Kukharev G.A., Matveev Y.N., Shchegoleva N.L. Express method of barcode generation from facial images. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2014, no. 2, pp. 99–106. (In Russian)
12.     Wilkinson C. Facial reconstruction – anatomical art or artistic anatomy? Journal of Anatomy, 2010, vol. 216, no. 2,
pp. 235–250. doi: 10.1111/j.1469-7580.2009.01182.x
13.     Shneyer V.S. DNA barcoding of animal and plant species as an approach for their molecular identification and describing of diversity. ZhurnalObshcheiBiologii, 2009, vol. 9, no. 4, pp. 296–315.(In Russian)
14.     Garafutdinov R.R., Chubukova O.V., Sahabutdinova A.R., Vakhitov V.A., Chemeris A.V. Genetic barcoding approach as to the identification of the person on the example of Russians of the Republic of Bashkortostan. Yu.A. Ovchinnikov Bulletin of Biotechnology and Physical and Chemical Biology, 2012, vol. 8, no. 3, pp. 19–25. (InRussian)
15.     Kazemi V., Sullivan J. One millisecond face alignment with an ensemble of regression trees. Proc. IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Columbus, USA,2014, pp. 1867–1874.
16.     CUHK Face Sketch Database. Available at: http://mmlab.ie.cuhk.edu.hk/facesketch.html (accessed 27.03.2017).
17.     Kukharev G.A., Kamenskaya E.I., Matveev Y.N., Shchegoleva N.L. Methods for Face Image Processing and Recognition in Biometric Applications. Ed. M.V. Khitrov. St. Petersburg, Politekhnika Publ., 2013, 388 p. (In Russian)
18.     Vostrikov A.A., Sergeev A.M. Bar Coding. St. Petersburg, SUAI Publ., 2010, 56 p. (In Russian)
19.     Dakin S.C., Watt R.J. Biological “bar codes” in human faces. Journal of Vision, 2009, vol. 9, no. 4, pp. 1–10.
20.     Barcode Comparison Chart. Available at: www.makebarcode.com/specs/barcodechart.html (accessed 25.09.2017).
21.     Nesson C. Encoding multi-layered data into QR codes for increased capacity and security. South Dakota School of Mines and Technology,2013, 22 p.
22.     Duda J. Embedding grayscale halftone pictures in QR codes using correction trees. arXiv:1211.1572v3, 2012, 16 p.
23.     Garateguy G.J., Arce G.R., Lau D.L., Villarreal O.P. QR images: optimized image embedding in QR codes. IEEE Transactions on Image Processing, 2014, vol. 23, no. 7, pp. 2842–2853. doi: 10.1109/TIP.2014.2321501
24.     Yang Z., Xu H., Deng J., Loy C.C., Lau W.C. Robust and fast decoding of high-capacity color QR codes for mobile applications. arXiv:1704.06447v1, 2017, 13 p.
25.     Tsymbal D.A., Chepurnoi K.V. Method of recognizing blurred barcodes on mobile devices without autofocusing. All-Russian Conf. on Mathematical Methods of Pattern Recognition. Petrozavodsk, Russia, 2011, 5 p. (In Russian)


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