Algorithm and Software for Monozygotic Twins Recognizing
- Authors: Lipin Y.N.1
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Affiliations:
- Perm Research Polytechnic University
- Issue: No 3 (66) (2024)
- Pages: 55-63
- Section: Computer science
- URL: https://journal-vniispk.ru/1993-0550/article/view/307283
- DOI: https://doi.org/10.17072/1993-0550-2024-3-55-63
- ID: 307283
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Abstract
The problem of face recognition of monozygotic twins is very important and difficult to solve. Existing face recognition software products for this purpose in most cases fail to cope with this task. In this paper, we propose an algorithm for face recognition of monozygotic twins based on natural and artificially created facial asymmetry using Fourier transform. The program implementing the proposed algorithm creates two images from the left and right halves of the original photo of the face of the first twin and another image as the average of the two created. Based on the obtained four images, a vector of 28 classifier values is created for comparison. Similarly, a second vector is created based on the images of the second twin. When comparing the values of the two vectors, the invisible effect of the asymmetry of the twins' faces is triggered, allowing to distinguish them.
Keywords
About the authors
Yu. N. Lipin
Perm Research Polytechnic University
Author for correspondence.
Email: ur-lip193530@yandex.ru
Candidate of Technical Sciences, Associate Professor 29, Komsomolsky Prospekt St., Perm, Russia, 614990
References
- Kakie by`vayut bliznecy? Chem otlichayutsya monozigotny`e i dvuzigotny`e bliznecy? [What kind of twins are there? What is the difference between monozygotic and dizy-gotic twins?]. URL: https://www.7ya.ru/article/Iz-odnogo-yajca/?ysclid= m1xv2df7ac804445780 (accessed data: 28.05.2024). (In Russ.).
- Osnovy` psixogenetiki [Fundamentals of psychogenetics], Arxivirovano 8 noyabrya 2016. (accessed data: 28.07.2024). (In Russ.).
- Egorova, M. and P`yankova S. (2010), "Dynamics of twin birth rates in Russia (1959–2008)", Psixologicheskie issledovaniya, vol. 3, no. 13, ISSN 2075-7999, doi: 10.54359/ps.v3i13.893. (In Russ.).
- Maly`x S.B. and Egorova M.S. (1998), Osnovy` psixogenetiki [Fundamentals of psy-chogenetics], M.: E`pidavr, 134 pp. (In Russ.).
- Dzhajn, A. A. and Ross, K. Nandakumarr (2011), Vvedenie v biometriyu [Introduction to Biometrics], Springer Science Business Media, N`yu-Jork, , 312 pp. (In Russ.).
- Bolotnikova, A., Demirel`, X. and Anbardzhafari G. (2017), "A real-time ensemble-based facial recognition system for NAO humanoids using a local binary scheme", Analogovy`j integral. Circ. Sig. rocess, 92 (3), pp.1-9. (In Russ.).
- Lyusi, Ya, Dzhunior, Dzh.Dzh., Gorbova, Dzh., Baro, X, E`skaler,a S., Demirel`, X., Allik, Dzh., Ozchinar, K. and Anbardzhafari G. (2017), "In the joint task of recognizing dominant and additional emotions using microemotional signs and evaluating the posi-tion of the head: databases. Automatic face and gesture recognition", 12-ya Mezhdu-narodnaya konferenciya IEEE po (IEEE, Vashington, 2017), pp. 809-813. (In Russ.).
- Anbardzhafari, G. (2013), "Face recognition using a color local binary pattern of mutu-ally independent color channels”, EURASIP J. Process obrabotki izobrazhenij i video, 1-6. (In Russ.).
- Fillips, P., Flinn, P., Baue`r, K., Brejgge, R., Groter, P., Kuinn, G. and Pryuitt M. "Dis-tinguishing identical twins using facial recognition", Konferenciya IEEE. Autom. Raspoznavanie zhestov licza. Seminary` (IEEE, Santa-Barbara, 2011), pp. 185-192, doi: 10.1109/FG.2011.5771395. (In Russ.).
- Bledso (1966), "A model method in face recognition", Panoramic Research Inc, Palo-Al`to, vol. 15, p. 47. (In Russ.).
- Terk, M. and Pentland, A. (1991), "Custom faces for recognition", J. Cogn. Neurosci, 3(1), pp.71-86. (In Russ.).
- Li X-Y and Lin Z-X (2017), "Face recognition based on the HOG and Fast PCA algo-rithm", Evro-kitajskaia konferenciia po intellektual`nomu analizu danny`x i prilozheni-yam, Springer, Cham. (In Russ.).
- V`yas, R.A. and Shax, S.M. (2017), "Comparison of PCA and LDA methods for feature extraction based on face recognition with increased accuracy", Mezhdunar. nauch.-prakt. konf. J. Eng. Texnologiya, 4(6), pp. 3332-3336. (In Russ.).
- Lou, Syu, Teo, A. and Dzhej, S. (2017), "Multiple convolution descriptor for Gabor, PCA and ICA filters for face recognition", IEEE Transactions on Circuits and Systems for Video Technology. (In Russ.).
- Lipin, Yu. N. and Stororozhev, S.A. (2022), "Development of a program for modeling algorithms of facial recognition systems", VIII Vseros. nauch.-prakt. konf. s mezhdunar. uchastiem "Iskusstvenny`j intellekt v reshenii aktual`ny`x social`ny`x i e`konomicheskix problem XXI veka". (In Russ.).
- Lipin, Yu. N. and Stororozhev, S.A. (2021), "Development of an algorithm for human face recognition", International Conference on Data Analytics for Business and Industry. (In Russ.).
- Lipin, Yu. N. (2023), "An Algorithm for Face Recognition Taking Into Account the Human Brain Peculiaritie", BULLETIN OF PERM UNIVERSITY. MATHEMATICS. MECHANICS. COMPUTER SCIENCE, (2 (61)), pp. 59-64, https://doi.org/10.17072/1993-0550-2023-2-59-64. (In Russ.).
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