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Dergiler / Chaos Theory and Applications / 2026 / Volume: 3 Issue: 1

A Chaos-Based Encryption Application for Wrist Vein Images

Ömer Faruk Boyraz(Sakarya Uygulamalı Bilimler Üniversitesi)0000-0002-3292-2814
Murat Erhan Çimen(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0002-1793-485X
Emre Güleryüz(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0001-6198-3571
Mustafa Zahid Yıldız(SAKARYA UYGULAMALI BİLİMLER ÜNİVERSİTESİ)0000-0003-1870-288X
Sayfa
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Yayın Tarihi
2021-06-30
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

With the study carried out, it has been shown that wrist vein patterns that can be used in authentication systems can be safely stored in the database.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, the images of the wrist vein taken from the individuals were subjected to various preprocessings and then encrypted with random numbers obtained from the chaotic system.
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Temel Bulgular & Veri:Before encryption, random numbers were generated using a chaotic system.
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Sonuç & Katkı:With the study carried out, it has been shown that wrist vein patterns that can be used in authentication systems can be safely stored in the database.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Wrist vein image · Chaotic System · Random Number Generator

Abstract

In this study, the images of the wrist vein taken from the individuals were subjected to various preprocessings and then encrypted with random numbers obtained from the chaotic system. Before encryption, random numbers were generated using a chaotic system. The random numbers produced have successfully passed the NIST 800-22 tests. Images encrypted with random numbers were subjected to security analysis such as correlation, NPCR, UACI and histogram analysis. With the study carried out, it has been shown that wrist vein patterns that can be used in authentication systems can be safely stored in the database.

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Bu Makaleye Atıf Yap

Boyraz, Ö. F., Çimen, M. E., Güleryüz, E., Yıldız, M. Z. (2021). A Chaos-Based Encryption Application for Wrist Vein Images. Chaos Theory and Applications, Volume: 3 Issue: 1. https://doi.org/10.51537/chaos.717432

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Kaynakça (18)

  1. Akgül, A., C. Arslan, and B. Arıcıoglu, 2019 Design of an interface for random number generators based on integer and fractional order chaotic systems. Chaos Theory and Applications 1: 1–18.
  2. Akgül, A., M. Z. Yıldız, Ö. F. Boyraz, E. Güleryüz, S. Kaçar, et al., 2020 Do˘grusal olmayan yeni bir sistem ile damar görüntülerinin mikrobilgisayar tabanlı olarak ¸sifrelenmesi. Journal of the Faculty of Engineering & Architecture of Gazi University 35.
  3. Akhloufi, M. and A. Bendada, 2008 Hand and wrist physiological features extraction for near infrared biometrics. In 2008 Canadian Conference on Computer and Robot Vision, pp. 341–344, IEEE.
  4. Boyraz, Ö. F. and M. Z. Yildiz, 2016 Mobil damar görüntüleme cihazı tasarımı. In 4th International Symposium on Innovative Technologies in Engineering and Science (ISITES2016) 3-5 Nov 2016 Alanya/Antalya-Turkey.
  5. Chai, X., Z. Gan, Y. Chen, and Y. Zhang, 2017 A visually secure image encryption scheme based on compressive sensing. Signal Processing 134: 35–51.
  6. Cho, S. R., Y. H. Park, G. P. Nam, K. Y. Shin, H. C. Lee, et al., 2012 Enhancement of finger-vein image by vein line tracking and adaptive gabor filtering for finger-vein recognition. In Applied Mechanics and Materials, volume 145, pp. 219–223, Trans Tech Publ.
  7. Dzwonkowski, M., M. Papaj, and R. Rykaczewski, 2015 A new quaternion-based encryption method for dicom images. IEEE Transactions on Image Processing 24: 4614– 4622.
  8. Hsiao, H.-I. and J. Lee, 2015 Fingerprint image cryptography based on multiple chaotic systems. Signal Processing 113: 169–181.
  9. Hua, Z. and Y. Zhou, 2017 Design of image cipher using block-based scrambling and image filtering. Information Sciences 396: 97–113.
  10. Lee, E., H. Jung, and D. Kim, 2010 Infrared imaging based finger recognition method. In Proceedings of International Conference on Convergence and Hybrid Information Technology, pp. 228–230.
  11. Niyaz, O., Z. G. Cam, and T. Yildirim, 2017Wrist vein recognition by ordinary camera using phase-based correspondence matching. In Modelling, Identificat. Control, pp. 89– 93.
  12. Pascual, J. E. S., J. Uriarte-Antonio, R. Sanchez-Reillo, and M. G. Lorenz, 2010 Capturing hand or wrist vein images for biometric authentication using low-cost devices. In 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 318–322, IEEE.
  13. Raut, S. D., V. Humbe, and A. V. Mane, 2017 Development of biometrie palm vein trait based person recognition system: Palm vein biometrics system. In 2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), pp. 18–21, IEEE.
  14. Rukhin, A., J. Soto, J. Nechvatal, M. Smid, and E. Barker, 2001 A statistical test suite for random and pseudorandom number generators for cryptographic applications. Technical report, Booz-allen and hamilton inc mclean va. Stimper, V., S. Bauer, R. Ernstorfer, B. Schölkopf, and R. P.
  15. Xian, 2019 Multidimensional contrast limited adaptive histogram equalization. IEEE Access 7: 165437–165447.
  16. Yildiz, M. Z., O. Boyraz, E. Guleryuz, A. Akgul, and I. Hussain, 2019 A novel encryption method for dorsal hand vein images on a microcomputer. IEEE Access 7: 60850– 60867.
  17. Yildiz, M. Z. and Ö. F. Boyraz, 2019 Development of a lowcost microcomputer based vein imaging system. Infrared Physics & Technology 98: 27–35.
  18. Zhang, L.-b., Z.-l. Zhu, B.-q. Yang, W.-y. Liu, H.-f. Zhu, et al., 2015 Medical image encryption and compression scheme using compressive sensing and pixel swapping based permutation approach. Mathematical Problems in Engineering 2015.