Abstract
We propose a method for generating standard type linear barcodes from facial images. Our method uses the difference in gradients of image brightness. It involves averaging the gradients into a limited number of intervals, quantization of the results into decimal digits from 0 to 9, and table conversion into the final barcode. The proposed solution is computationally low-cost and does not require the use of any specialized image processing software for generating facial barcodes in mobile systems. Results of tests conducted on the Face94 database show that the proposed method offers a new solution for use in real-world practice. The generated barcodes are stable against changes of scale, pose and mirroring of facial images, as well as changes of facial expressions and shadows on faces from local lighting.
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References
Heeter, T.W.: Method for verifying human identity during electronic sale transactions. US Patent 5878155A (1999)
Barcode/Tattoos. http://www.barcodeart.com/store/wearable/tattoos
Matveev, Y.N.: Technologies of biometric identification of a person by voice and other modalities. Vestnik MGTU. Priborostroenie, Spec. Issue Biometric Technol. 3, 46–61 (2012) (in Russian)
Forczmanski, P., Kukharev, G., Shchegoleva, N.: An algorithm of face recognition under difficult lighting conditions. Electr. Rev. 10b, 201–204 (2012)
UPC & EAN Barcode FAQ Tutorial: http://www.idautomation.com/barcode-faq/upc-ean/
Dakin, S.C., Watt, R.J.: Biological bar codes in human faces. J. Vis. 9(4), 1–10 (2009)
Facial Barcodes Help Us Identify People. http://www.barcodesinc.com/news/?p=92
Querinini, M., Italiano, G.F.: Facial recognition with 2D color barcodes. Int. J. Comput. Sci. Appl. 10(1), 78–97 (2013)
Hitrov, M.V. (ed.) Methods of facial images processing and recognition in biometrics, Politechnika, Saint Petersburg (2013) (in Russian)
Face94 data base. http://cswww.essex.ac.uk/mv/allfaces/faces94.html
Acknowledgments
This work was partially financially supported by the Government of the Russian Federation, Grant 074-U01.
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Kukharev, G., Matveev, Y., Shchegoleva, N. (2014). A Gradient Method for Generating Facial Barcodes. In: Ignatov, D., Khachay, M., Panchenko, A., Konstantinova, N., Yavorsky, R. (eds) Analysis of Images, Social Networks and Texts. AIST 2014. Communications in Computer and Information Science, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-319-12580-0_12
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DOI: https://doi.org/10.1007/978-3-319-12580-0_12
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