Cancelable template generation based on quantization concepts

• Autorzy: Nassar Rana M. , Khalaf Ashraf A. M. , El-Banby Ghada M. , El-Samie Fathi E. Abd , Hussein Aziza I. , El-Shafai Walid

Identyfikatory

DOI

10.24425/opelre.2023.145940

• Języki publikacji: PL

Abstrakty

EN

The idea of cancelable biometrics is widely used nowadays for user authentication. It is based on encrypted or intentionally-distorted templates. These templates can be used for user verification, while keeping the original user biometrics safe. Multiple biometric traits can be used to enhance the security level. These traits can be merged together for cancelable template generation. In this paper, a new system for cancelable template generation is presented depending on discrete cosine transform (DCT) merging and joint photographic experts group (JPEG) compression concepts. The DCT has an energy compaction property. The low-frequency quartile in the DCT domain maintains most of the image energy. Hence, the first quartile from each of the four biometrics for the same user is kept and other quartiles are removed. All kept coefficients from the four biometric images are concatenated to formulate a single template. The JPEG compression of this single template with a high compression ratio induces some intended distortion in the template. Hence, it can be used as a cancelable template for the user acquired from his four biometric traits. It can be changed according to the arrangement of biometric quartiles and the compression ratio used. The proposed system has been tested through merging of face, palmprint, iris, and fingerprint images. It achieves a high user verification accuracy of up to 100%. It is also robust in the presence of noise.

Słowa kluczowe

EN

cancelable biometrics; quantization concepts; DCT; JPEG; access control; authentication

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2023
• Tom: Vol. 31, No. 3
• Strony: art. no. e145940
• Opis fizyczny: Bibliogr. 37 poz., rys., tab., wykr.

Twórcy

autor

Nassar Rana M.

• Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt

autor

Khalaf Ashraf A. M.

• Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt

autor

El-Banby Ghada M.

• Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt

autor

El-Samie Fathi E. Abd

• Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egyp
• Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdurrahman University, Riyadh 84428, Saudi Arabia

autor

Hussein Aziza I.

• Electrical and Computer Engineering Department, Effat University, Jeddah, Kingdom of Saudi Arabia

autor

El-Shafai Walid

• Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt
• Security Engineering Laboratory, Department of Computer Science, Prince Sultan University, Riyadh 11586, Saudi Arabia

Bibliografia

• [1] Jegede, A., Udzir, N. I., Abdullah, A. & Mahmod, R. Cancelable and hybrid biometric cryptosystems: current directions and open research issues. Int. J. Adv. Appl. Sci. (IJAAS) 4, 65-77 (2017). https://doi.org/10.21833/ijaas.2017.011.010
• [2] Zuo, J., Ratha, N. K. & Connell, J. H. Cancelable Iris Biometric. in 19th International Conference on Pattern Recognition (ICPR) 1-4 (IEEE, 2008). https://doi.org/10.1109/ICPR.2008.4761886
• [3] Algarni, A. D. et al. (2020). Discrete transforms and matrix rotation based cancelable face and fingerprint recognition for biometric security applications. Entropy 22, 1361 (2020). https://doi.org/10.3390/e22121361
• [4] Elashry, I. F. et al. (2020). Efficient chaotic-based image crypto-system with different modes of operation. Multimed. Tools Appl. 79, 20665-20687 (2020). https://doi.org/10.1007/s11042-019-08322-5
• [5] Faragallah, O. S. et al. Cybersecurity framework of hybrid water-marking and selective encryption for secure HEVC communication. J. Ambient Intell. Humaniz. Comput. 13, 1215–1239 (2022). https://doi.org/10.1007/s12652-020-02832-z
• [6] Soliman, R. F., Amin, M. & Abd El-Samie, F. E. A modified cancelable biometrics scheme using random projection. Ann. Data Sci. 6, 223–236 (2019). https://doi.org/10.1007/s40745-018-0172-1
• [7] Soliman, R. F. et al. Efficient cancelable iris recognition scheme based on modified logistic map. Proc. Natl. Acad. Sci. India Sect. A Phys. Sci. 90, 101-107 (2020). https://doi.org/10.1007/s40010-018-0555-x
• [8] Qiu, J., Li., H. & Dong, J. Design of Cancelable Palmprint Templates Based on Look up Table. in IOP Conference Series: Materials Science and Engineering 60-70 (IOP Publishing, 2018). https://doi.org/10.1088/1757-899X/322/5/052050
• [9] Soliman, R. F. et al. Double random phase encoding for cancelable face and iris recognition. Appl. Opt. 57, 10305-10316 (2018). https://doi.org/10.1364/AO.57.010305
• [10] Jin, Z., Lim, M. H., Teoh, A. B. J. & Goi, B. M. A non-invertible randomized graph-based hamming embedding for generating cancelable fingerprint template. Pattern Recognit. Lett. 42, 137-147 (2014). https://doi.org/10.1016/j.patrec.2014.02.011
• [11] Gowthami, A. T. & Mamatha, H. R. Fingerprint recognition using zone based linear binary patterns. Procedia Comput. Sci. 58, 552-557 (2015). https://doi.org/10.1016/j.procs.2015.08.072
• [12] Rathgeb, C., Gomez-Barrero, M., Busch, C., Galbally, J. & Fierrez, J. Towards Cancelable Multi-Biometrics Based on Bloom Filters: A Case Study on Feature Level Fusion of Face and Iris. in 3rd International Workshop on Biometrics And Forensics (IWBF) 1-6 (IEEE, 2015).
• [13] Abd El-Samie, F. E. et al. Efficient implementation of optical scanning holography in cancelable biometrics. Appl. Opt. 60, 3659-3667 (2021). https://doi.org/10.1364/AO.415523
• [14] Abdellatef, E. et al. Fusion of deep-learned and hand-crafted features for cancelable recognition systems. Soft Comput. 24, 15189-15208 (2020). https://doi.org/10.1007/s00500-020-04856-1
• [15] Tarif, E. B., Wibowo, S., Wasimi, S. & Tareef, A. A hybrid encryption/hiding method for secure transmission of biometric data in multimodal authentication system. Multimed. Tools Appl. 77, 2485–2503 (2018). https://doi.org/10.1007/s11042-016-4280-7
• [16] Abdellatef, E. et al. A. cancelable face and iris recognition system based on deep learning. Opt. Quantum Electron. 54, 1-21 (2022). https://doi.org/10.1007/s11082-022-03770-0
• [17] Badr, I. S. et al. Cancellable face recognition based on fractional-order Lorenz chaotic system and Haar wavelet fusion. Digit. Signal Process. 116, 103103 (2021). https://doi.org/10.1016/j.dsp.2021.103103
• [18] Finger Verification Competition. http://bias.csr.unibo.it/fvc2002/databases.asp (Accessed July 2018).
• [19] ORL database. https://www.kaggle.com/datasets/kasikrit/att-data base-of-faces (Accessed July 2018).
• [20] CASIA-IrisV3 database. http://www.cbsr.ia.ac.cn/english/IrisData base.asp (Accessed July 2018).
• [21] CASIA Palm Print Database. http://biometrics.idealtest.org/ (Accessed July 2018).
• [22] El-Shafai, W., Hossam Eldein Mohamed, F. A., Elkamchouchi, H. M. A., Abd-Elnaby, M. & Elshafee, A. Efficient and secure cancelable biometric authentication framework based on genetic encryption algorithm. IEEE Access 9, 77675-77692 (2021). https://doi.org/10.1109/ACCESS.2021.3082940
• [23] El‐Shafai, W., El‐Rabaie, S., El‐Halawany, M. M. & Abd El‐Samie, F. E. Efficient hybrid watermarking schemes for robust and secure 3D‐MVC communication. Int. J. Commun. Syst. 31, e3478 (2018). https://doi.org/10.1002/dac.3478
• [24] El-Hameed, H. A. A. et al. Cancelable biometric security system based on advanced chaotic maps. Vis. Comput. 38, 2171–2187 (2021). https://doi.org/10.1007/s00371-021-02276-2
• [25] Elazm, L. A. et al. Hardware Implementation of Cancellable Biometric Systems. in 2020 Fourth International Conference on I-SMAC 1145–1152 (IEEE, 2020). https://doi.org/10.1109/I-SMAC49090.2020.9243390
• [26] El-Gazar, S. et al. Cancelable speaker identification system based on optical-like encryption algorithms. Comput. Syst. Sci. Eng. 43, 87-102 (2022). https://doi.org/10.32604/csse.2022.022722
• [27] Elazm, L. A. et al. Efficient hardware design of a secure cancellable biometric cryptosystem. Intell. Autom. Soft Comput. 36, 929-955 (2023). https://doi.org/10.32604/iasc.2023.031386
• [28] Almomani, I. Proposed biometric security system based on deep learning and chaos algorithms. Comput. Mater. Contin. 74, 3515-3537 (2023). https://doi.org/10.32604/cmc.2023.033765
• [29] El-Shafai, W. et al. Optical ciphering scheme for cancellable speaker identification system. Comput. Syst. Sci. Eng. 45, 563-578 (2023). https://doi.org/10.32604/csse.2023.024375
• [30] Ayoup, A. M. et al. Cancelable multi-biometric template generation based on dual-tree complex wavelet transform. Intell. Automat. Soft Comput. 33, 1289-1304 (2022). https://doi.org/10.32604/iasc.2022.024381
• [31] Ayoup, A. M. et al. Cancellable multi-biometric template generation based on Arnold cat map and aliasing. Comput. Mater. Contin. 72, 3687-3703 (2022). https://doi.org/10.32604/cmc.2022.025902
• [32] Ayoup, A. M. et al. Selective cancellable multi-biometric template generation scheme based on multi-exposure feature fusion. Intell. Automat. Soft Comput. 33, 549-565 (2022). https://doi.org/10.32604/iasc.2022.024379
• [33] Faragallah, O. S. et al. Efficient chaotic-Baker-map-based cancelable face recognition. J. Ambient Intell. Humaniz. Comput. 14, 1837-1875 (2023). https://doi.org/10.1007/s12652-021-03398-0
• [34] Soliman, N. F., Algarni, A. D., El-Shafai, W., Abd El-Samie, F. E. & El Banby, G. M. An efficient GCD-based cancelable biometric algorithm for single and multiple biometrics. Comput. Mater. Contin. 69, 1571-1595 (2021). https://doi.org/10.32604/cmc.2021.016980
• [35] Abd Al Rahim, M., El-Shafai, W., El-Rabaie, E. S. M., Zahran, O. & Abd El-Samie, F. E. Comb filter approach for cancelable face and fingerprints recognition. Menoufia J. Electron. Eng. Res. 28, 89-94 (2019). https://doi.org/10.21608/mjeer.2019.76776
• [36] Helmy, M., El-Shafai, W., El-Rabaie, E. S. M., El-Dokany, I. M. & Abd El-Samie, F. E. A hybrid encryption framework based on Rubik’s cube for cancelable biometric cyber security applications. Optik 258, 168773 (2022). https://doi.org/10.1016/j.ijleo.2022.168773
• [37] Ali, A. M. et al. Vision transformers in image restoration: A survey. Sensors 23, 2385 (2023). https://doi.org/10.3390/s23052385

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).