Year 2021,
Volume: 3 Issue: 1, 3 - 10, 30.06.2021
Ömer Faruk Boyraz
,
Murat Erhan Çimen
,
Emre Güleryüz
,
Mustafa Zahid Yıldız
References
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Conference on Convergence and Hybrid Information Technology,
pp. 228–230.
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system: Palm vein biometrics system. In 2017 1st International
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Management (ICISIM), pp. 18–21, IEEE.
- 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.
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Stimper, V., S. Bauer, R. Ernstorfer, B. Schölkopf, and R. P.
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histogram equalization. IEEE Access 7: 165437–165447.
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vein images on a microcomputer. IEEE Access 7: 60850–
60867.
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microcomputer based vein imaging system. Infrared
Physics & Technology 98: 27–35.
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2015 Medical image encryption and compression scheme
using compressive sensing and pixel swapping based
permutation approach. Mathematical Problems in Engineering
2015.
A Chaos-Based Encryption Application for Wrist Vein Images
Year 2021,
Volume: 3 Issue: 1, 3 - 10, 30.06.2021
Ömer Faruk Boyraz
,
Murat Erhan Çimen
,
Emre Güleryüz
,
Mustafa Zahid Yıldız
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.
References
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Hsiao, H.-I. and J. Lee, 2015 Fingerprint image cryptography
based on multiple chaotic systems. Signal Processing 113:
169–181.
- Hua, Z. and Y. Zhou, 2017 Design of image cipher using
block-based scrambling and image filtering. Information
Sciences 396: 97–113.
- 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.
- 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.
- 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.
- 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.
- 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.
- Xian, 2019 Multidimensional contrast limited adaptive
histogram equalization. IEEE Access 7: 165437–165447.
- 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.
- Yildiz, M. Z. and Ö. F. Boyraz, 2019 Development of a lowcost
microcomputer based vein imaging system. Infrared
Physics & Technology 98: 27–35.
- 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.