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Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2024-24-4-578-587
Kaziyeva N.M., Kukharev G.A., Maulenov K.S.
Method for generating multimedia files for the tasks of facial biometrics and its applications
Method for generating multimedia files for the tasks of facial biometrics and its applications
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Article in Russian
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Abstract
For citation:
Kaziyeva N.M., Kukharev G.A., Maulenov K.S. Method for generating multimedia files for the tasks of facial biometrics and its applications. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2024, vol. 24, no. 4, pp. 578–587 (in Russian). doi: 10.17586/2226-1494-2024-24-4-578-587
Abstract
The methods of constructing compact multimedia files based on a color image of a face, biometric data and documentary information about the person to whom this face belongs are considered. The essence of the proposed method consists in generating a color QR code based on facial characteristics and embedding the code into the face image. The formation of a color QR code is performed by replacing three slices of the Least Significant Bit of the original image. Mathematical descriptions, pseudocodes and graphic illustrations are presented to understand the idea of the method, the proposed solutions, and the algorithm implementing the method of embedding a color QR code in a face image. The developed new method of embedding color QR codes in face images is implemented programmatically and is the basis for the formation of multimedia files. The method can be recommended for the tasks of facial biometrics and its applications.
Keywords: color images of faces, color QR code, embedding of color QR codes, biometric multimedia file, color Least Significant Bit (LSB)-layers, container
Acknowledgements. This research has been/was/is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP19678000 Development of methods and algorithms for the safe use of QR codes for biometrics tasks and their applications, including blockchain technology).
Acknowledgements. This research has been/was/is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP19678000 Development of methods and algorithms for the safe use of QR codes for biometrics tasks and their applications, including blockchain technology).
