Comb Filter Approach for Cancelable Face and Fingerprints Recognition

[1]     A. K. Jain, A. A. Ross, and K. Nandakumar,“Introduction to Biometrics”, Springer ,pp. 107-130,2017.

[2]     R. Bolle, J. Connell,S.Pankanti, N. K. Ratha, A. W. Senior, “Authentication and Biometrics”, Guide to Biometrics, pp. 17-30, Springer, 2004.

[3]     D.Maltoni, AK.Jain, D.Maio, S.Prabhakar, “Handbook of Fingerprint Recognition”, Springer,ISBN 0-387-95431-7, 2004

[4]     S. Rakesh, A. A. Kaller, B. Shadakshari, and B. Annappa, “Image Encryption Using Block Based Uniform Scrambling and Chaotic Logistic Mapping”, International Journal of Cryptogr. Inf. Secur. (IJCIS), Vol. 2, No. 1, pp. 49–57, 2012.

[5]     R. Jayapal, “Biometric encryption system for increased security”, Master Degree Thesis, College of Computing, Engineering & Construction, University of North Florida, 2017.

[6]     P. Patel, M .Rajpoot, “Secure Fingerprint Identification System and Matching by Using Image Registration and Key Matching Techniques”, International Journal of Engineering Research & Technology (IJERT), Vol. 2, June 2013.

[7]     D. Cui, “A Novel Fingerprint Encryption Algorithm Based on Chaotic System and Fractional Fourier Transform”, International Conference on Machine Vision and Human-Machine Interface,DOI 10.1109/MVHI.2010.38, 2010.

[8]     S. Li and X. Zheng, “Cryptanalysis of a chaotic fingerprint encryption method”, Proceedings of The IEEE Int. Symposium on Circuits and Systems (ISCAS),DOI:10.1109/iscas.2002.1011451 , 2002.

[9]     A. Chatterjee, S. Mandal, G.M. Rahaman and A. M. Arif, “Fingerprint Identification and Verification System by Minutiae Extraction Using Artificial Neural Network”, Proceedings of The JCIT, 2010.

[10]  B. Liang, Z. Wu, and Linyou, “A Novel Fingerprint-Based Biometric Encryption”, Proceedings of The Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing,DOI: 10.1109/3PGCIC.2014.48, 2014.

[11]  V. M. Patel, N. K. Ratha, and R. Chellappa, “Cancelable biometrics: A Review”, Proceedings of The IEEE Signal Processing Magazine,vol. 32, no. 5, pp. 54-65, 2015.

[12]  H. Kaur and P. Khanna,“Non-invertible biometric encryption to generate Cancelable biometric templates”, Proceeding of the world Congress on Engineering and Computer Science, San Francisco, ISBN: 978-988-14047-5-6, 2017.

[13]  M. Tarek, O. Ouda, and T. Hamza, “Pre-image resistant cancelable biometrics scheme using bidirectional memory model”, Proceedings of The International Journal of Network Security ,DOI:10.6633/IJNS.201707.19(4).2,2017.

[14]  S. V. K. Gaddam and M. Lal, “Efficient cancelable biometric key generation scheme for cryptography”, Proceedings of The International Journal of Network Security, Vol.11, No.2, PP.61–69, Sept,2010.

[15]  Punithavathi P, Subbiah G (2017) Can cancelable biometrics preserve privacy?. Biometric Technology Today 7: 8-11

[16]  Rashid RA, Mahalin NH, Sarijari MA, Abdul Aziz AA (2008) Security system using biometric technology: Design and implementation of Voice Recognition System (VRS). In: International Conference onComputer and Communication Engineering ICCCE2008, pp. 898-902

[17]  Vezzetti E, Marcolin F (2012) Geometrical descriptors for human face morphological analysis and recognition. Robotics and Autonomous Systems 60(6), 928-939

[18]  Zuo J, Ratha NK Connell JH (2008) Cancelable iris biometric. In: 19th International Conference on Pattern Recognition ICPR2008, pp. 1-4

[19]  Ratha NK, Chikkerur S, Connell JH, Bolle RM (2007) Generating cancelable fingerprint templates. IEEE Transactions on Pattern Analysis and Machine intelligence 29(4): 561-572

[20]  Tarek M, Ouda O, Hamza T (2017) Pre-image resistant cancelable biometrics scheme using bidirectional memory model. International Journal of Network Security 19(4): 498-506

[21]  Syarif MA, Ong TS, Teoh ABJ, Tee C (2014) Improved biohashing method based on most Intensive histogram block location. In: International Conference of Neural Information Processing, pp. 644-652

[22]  Teoh ABJ, Ngo DCL, Goh A (2004) Biohashing: two factor authentication featuring fingerprint data and tokenised random number. Pattern Recognition 37(11): 2245-2255

[23]  Arpit D,Nwogu I, Srivastava G, Govindaraju (2014) An Analysis of random projections in cancelable biometrics.  In: Proceedings of the 31st International Conference on Machine Learning vol. 32

[24]  Rathgeb C, Uhl A (2010) Secure iris recognition based on local intensity variations. In: Proceedings of the 7th International Conference on Image Analysis and Recognition II, pp. 266-275

[25]  Rathgeb C, Breitinger F, Baier H, Busch C (2015) Towards bloom filter-based indexing of iris biometric data. In: IEEE International Conference on Biometrics (ICB), pp. 422-429

[26]  Rathgeb C, Breitinger F, Busch C, Baier H (2014) On the application of bloom filters to iris biometrics. IET Journal on Biometrics 3(4): 207-218

[27]  Hermans J., Mennink B., and Peeters R., “When a Bloom filter is a Doom filter: Security assessment of a novel iris biometric template protection system”, International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1-6, 2014, Darmstadt, Germany.

[28]  Gomez-Barrero M, Rathgeb C, Galbally J, Busch C,  Fierrez J (2016) Unlinkable and irreversible biometric template protection based on bloom filters. Information Sciences 370(C): 18-32

[29]  Rahulkar AD, Holambe RS (2012) Half-iris feature extraction and recognition using a new class of biorthogonal triplet half-band filter bank and flexible k-out-of-n: A postclassifier. IEEE Transactions on Information Forensics and Security 7(1): 230–240

[30]  Ouda O, Tsumura N, Nakaguchi T (2011) On the security of bioEncoding based cancelable biometrics. IEICE Transactions on Information and System 94-D(9): 1768–1777

[31]  Ouda O, Tsumura N, Nakaguchi T (2010) A reliable tokenless cancelable biometrics scheme for protecting Iriscodes. IEICE Transactions on Information and Systems E93-D(7): 1878-1888

[32]  Lacharme P (2012) Analysis of the iriscodes bioencoding scheme. International Journal of Computer Science and Security 6(5): 315-321

[33]  Hämmerle-Uhl J, Pschernig E, Uhl A (2009) Cancelable iris biometrics using block re-mapping and image warping. In: Springer Berlin Heidelberg International Conference on Information Security, pp. 135-142

[34]  Jenisch S Uhl A (2011) Security analysis of a cancelable iris recognition system based on block remapping. In: 18th IEEE International Conference on Image Processing, pp. 3213-3216

[35]  Dwivedi R, Dey S (2015) Cancelable iris template generation using look-up table mapping. In: Signal Processing and Integrated Networks (SPIN) 2nd International Conference on Signal Processing and Integrated Network, pp. 785-790

[36]  Tarek M, Ouda O, Hamza T (2016) Robustcancelable biometrics scheme based on neural networks. The Institution of Engineering and Technology, IET Biometrics, 5(3): 220–228

[37]  Kumar A, Passi A (2010) Comparison and combination of iris matchers for reliable personal authentication. Pattern Recognition 43: 1016-1026

[38]  Lai Y, Jin J, Teoh ABJ, Goi B, Yap W, Chai T, Rathgeb, C (2017) Cancelable iris template generation based on Indexing-First-One hashing. Pattern Recognition 64: 105–117

[39]  Wan M, Li M, Yang G, Gai S, Jin Z (2014) Feature extraction using two-dimensional maximum embedding difference. Information Sciences 274:55-69

[40]  Wan M, Yang G, Gai S, Yang Z(2017) Two-dimensional discriminant locality preserving projections (2DDLPP) and its application to feature extraction via Fuzzy set. Multimedia Tools and Applications 76 (1):355-371

[41]  Wan M, Lai Z, Yang G, Yang Z, Zhang F, Zheng H (2017) Local graph embedding based on maximum margin criterion via fuzzy set. Fuzzy Sets and Systems 318: 120-131

[42]  Daugman JG (1985) Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Optical Society of America, Journal, A: Optics and Image Science 2(7): 1160-1169.

[43]  Grigorescu S, Petkov N, Kruizinga P (2002) Comparison of texture features based on Gabor filters. IEEE Trans. Image Process. 11(10): 1160-1167.

[44]  Daugman J (2004) How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14, 21–30.

[45]  Masek L (2003) Recognition of human iris patterns for biometric identification. M. Thesis, The University of Western Australia.

[46]  Soliman N F, Mohamed E, Magdi F, Abd El-Samie FE, AbdElnaby M (2017) Efficient iris localization and recognition. Optik - International Journal for Light and Electron Optics 140: 469-475.

[47]  [47]Burge MJ, Kevin KW (2013) Handbook of iris recognition. Springer.

[48]  Patel VM, Ratha NK, Chellappa R (2015) Cancelable biometrics: A Review. IEEE Signal Processing Magazine 32(5): 54-65.

[49]  Evans N, Marcel S, Ross A, Teoh ABJ (2015) Biometrics security and privacy protection. IEEE Signal Process Mag 32(5):17–18.

[50]  Johnson W, Lindenstrauss J (1984) Extensions of Lipschitz maps into a hilbert space. Contemporary Mathimatics 26:189–206.

[51]  Ferreira JL, Wu Y, Aarts RM (2018) Enhancement of the Comb filtering Selectivity Using Iterative Moving Average for Periodic Waveform and Harmonic Elimination. Journal of Healthcare Engineering 2018

[52]  Kuo SM, Lee BH, Tain W (2006) Real-Time signal processing, implantations and applications. John Wiley & Sons Ltd, 2nd.

[53]  CASIA-IrisV3-Database, http://www.cbsr.ia.ac.cn/english/IrisDatabase.asp. Accessed December 2017.

[54]  Jain AK, Li SZ (2005) Handbook of face recognition. Springer 1st.

[55]  Performance testing of biometric template protection scheme for reasonable performance evaluation. 2018 Information Technology, ISO/IEC 30136.

[56]  O.  Ouda, N. Tsumura, and T. Nakaguchi, “On the security of bioencoding based cancelable biometrics”, Proceedings of The IEICE Transactions on Information and Systems, vol. E94-D, no. 9, pp. 1768-1777, 2011.

[57]  Ross and A. Othman, “Mixing fingerprints for template security and privacy”, in Proc. 19th Eur. Signal Proc. Conf. (EUSIPCO), Barcelona, pp. 554-558, 2011.