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Cancelable features using log-Gabor filters for biometric authentication

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Abstract

Wide spread use of biometric based authentication requires security of biometric data against identity thefts. Cancelable biometrics is a recent approach to address the concerns regarding privacy of biometric data, public confidence, and acceptance of biometric systems. This work proposes a template protection approach which generates revocable binary features from phase and magnitude patterns of log-Gabor filters. Multi-level transformations are applied at signal and feature level to distort the biometric data using user specific tokenized variables which are observed to provide better performance and security against information leakage under correlation attacks. A thorough analysis is performed to study the performance, non-invertibility, and changeability of the proposed approach under stolen token scenario on multiple biometric modalities. It is revealed that generated templates are non-invertible, easy to revoke, and also deliver good performance.

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References

  1. Amayeh G, Tavakkoli A, Bebis G (2009) Accurate and efficient computation of gabor features in real-time applications. In: Advances in Visual Computing, Springer, pp 243–252

  2. Areekul V, Watchareeruetai U, Tantaratana S (2004) Fast separable gabor filter for fingerprint enhancement. In: Biometric Authentication. Springer, pp 403–409

  3. Aykut M, Ekinci M (2015) Developing a contactless palmprint authentication system by introducing a novel roi extraction method. Image Vis Comput 40:65–74

    Article  Google Scholar 

  4. Beveridge R, Bolme D, Teixeira M, Draper B (2003) The csu face identification evaluation system users guide: version 5.0. Computer Science Department, Colorado State University 2 (3)

  5. Bingham E, Mannila H (2001) Random projection in dimensionality reduction: applications to image and text data. In: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, pp 245–250

  6. Bolle RM, Connell JH, Ratha NK (2002) Biometric perils and patches. Pattern Recogn 35(12):2727–2738

    Article  MATH  Google Scholar 

  7. Boult TE, Scheirer WJ, Woodworth R (2007) Revocable Fingerprint biotokens: Accuracy and security analysis. In: Computer vision and pattern recognition, 2007. CVPR’07. IEEE Conference on, pp 1–8

  8. CASIA-FaceV5 Biometrics Ideal Test. http://biometrics.idealtest.org

  9. CASIA-MS-Palmprint V1 Biometrics Ideal Test . http://biometrics.idealtest.org

  10. CASIA palmprint database Biometrics Ideal Test. http://biometrics.idealtest.org/downloadDB/

  11. Chin YJ, Ong TS, Teoh ABJ, Goh K (2014) Integrated biometrics template protection technique based on fingerprint and palmprint feature-level fusion. Inf Fusion 18:161–174

    Article  Google Scholar 

  12. Chu R, Lei Z, Han Y, He R, Li SZ (2007) Learning gabor magnitude features for palmprint recognition. In: Computer Vision–ACCV 2007. Springer, pp 22–31

  13. Connie T, Teoh A, Goh M, Ngo D (2005) Palmhashing: a novel approach for cancelable biometrics. Inf Process Lett 93(1):1–5

    Article  MathSciNet  Google Scholar 

  14. Dasgupta S (2000) Experiments with random projection. In: Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, Morgan Kaufmann Publishers Inc., pp 143–151

  15. Farooq F, Bolle RM, Jea TY, Ratha N (2007) Anonymous and revocable fingerprint recognition. In: Computer vision and pattern recognition, 2007. CVPR’07. IEEE Conference on, pp 1–7

  16. Field DJ (1987) Relations between the statistics of natural images and the response properties of cortical cells. JOSA A 4(12):2379–2394

    Article  Google Scholar 

  17. Filipe S, Alexandre LA (2014) Algorithms for invariant long-wave infrared face segmentation: evaluation and comparison. Pattern Anal Applic 17(4):823–837

    Article  MathSciNet  Google Scholar 

  18. Frankl P, Maehara H (1988) The johnson-lindenstrauss lemma and the sphericity of some graphs. J Comb Theory B 44(3):355–362

    Article  MathSciNet  MATH  Google Scholar 

  19. Goel N, Bebis G, Nefian A (2005) Face recognition experiments with random projection. In: Defense and Security, International Society for Optics and Photonics, pp 426–437

  20. Gonzalez RC, Woods RE, Eddins SL (2004) Digital image processing using MATLAB. Pearson Education India

  21. Hirata S, Takahashi K (2009) Cancelable biometrics with perfect secrecy for correlation-based matching. In: Advances in Biometrics. Springer, pp 868–878

  22. Indyk P, Motwani R (1998) Approximate nearest neighbors: towards removing the curse of dimensionality. In: Proceedings of the thirtieth annual ACM symposium on Theory of computing, pp 604–613

  23. IRIS thermal/visible face database University of Tennessee. http://www.cse.ohio-state.edu/otcbvs-bench/

  24. Jin ATB, Ling DNC, Goh A (2004) Biohashing: two factor authentication featuring fingerprint data and tokenised random number. Pattern Recogn 37(11):2245–2255

    Article  Google Scholar 

  25. Kaski S (1998) Dimensionality reduction by random mapping: Fast similarity computation for clustering. In: Neural networks proceedings, 1998. IEEE world congress on computational intelligence. The 1998 IEEE international joint conference on, IEEE, vol 1, pp 413–418

  26. Kaur H, Khanna P (2015) Biometric template protection using cancelable biometrics and visual cryptography techniques. Multimedia Tools and Applications 1–29

  27. Kovesi P (1999) Image features from phase congruency. Videre: J Comput Vis Res 1(3):1–26

    Google Scholar 

  28. Lacharme P, Cherrier E, Rosenberger C et al (2013) Preimage attack on biohashing. In: International Conference on Security and Cryptography (SECRYPT)

  29. Lee C, Kim J (2010) Cancelable fingerprint templates using minutiae-based bit-strings. J Netw Comput Appl 33(3):236–246

    Article  MathSciNet  Google Scholar 

  30. Lee Y, Chung Y, Moon K (2009) Inverse operation and preimage attack on biohashing. In: Computational intelligence in biometrics: theory, Algorithms, and Applications, 2009. CIB 2009. IEEE Workshop on, pp 92–97

  31. Leng L, Teoh ABJ (2015) Alignment-free row-co-occurrence cancelable palmprint fuzzy vault. Pattern Recogn 48(7):2290–2303

    Article  Google Scholar 

  32. Leng L, Zhang J (2011) Dual-key-binding cancelable palmprint cryptosystem for palmprint protection and information security. J Netw Comput Appl 34(6):1979–1989

    Article  Google Scholar 

  33. Leng L, Zhang J (2013) Palmhash code vs. palmphasor code. Neurocomputing 108:1–12

    Article  Google Scholar 

  34. Leng L, Zhang J, Khan M, Bi X, Ji M (2010) Cancelable palmcode generated from randomized gabor filters for palmprint protection. Sci Res Essays 6 (4):784–792

    Google Scholar 

  35. Leng L, Li M, Teoh ABJ (2013) Conjugate 2dpalmhash code for secure palm-print-vein verification. In: Image and signal processing (CISP), 2013 6th international congress on, IEEE, vol 3, pp 1705–1710

  36. Leng L, Teoh ABJ, Li M, Khan MK (2014) Analysis of correlation of 2dpalmhash code and orientation range suitable for transposition. Neurocomputing 131:377–387

    Article  Google Scholar 

  37. Li J, Sang N, Gao C (2014) Log-gabor weber descriptor for face recognition. In: Computer vision-ACCV 2014 Workshops. Springer, pp 541–553

  38. Li SZ, Yi D, Lei Z, Liao S (2013) The casia nir-vis 2.0 face database. In: Computer vision and pattern recognition workshops (CVPRW), 2013 IEEE Conference on, pp 348–353

  39. Lin C, Fan KC (2001) Triangle-based approach to the detection of human face. Pattern Recogn 34(6):1271–1284

    Article  MATH  Google Scholar 

  40. Liu K, Kargupta H, Ryan J (2006) Random projection-based multiplicative data perturbation for privacy preserving distributed data mining. IEEE Trans Knowl Data Eng 18(1):92–106

    Article  Google Scholar 

  41. Lu J, Plataniotis KN, Venetsanopoulos AN (2003) Face recognition using kernel direct discriminant analysis algorithms. IEEE Trans Neural Netw 14(1):117–126

    Article  Google Scholar 

  42. Maiorana E, Campisi P, Neri A (2011) Bioconvolving: Cancelable templates for a multi-biometrics signature recognition system. In: Systems conference (SysCon), 2011 IEEE International, pp 495–500

  43. Mulyono D, Jinn HS (2008) A study of finger vein biometric for personal identification, Biometrics and Security. In: Technologies, 2008. ISBAST 2008. International Symposium on, pp 1–8

  44. Ngo DC, Teoh AB, Goh A (2006) Biometric hash: high-confidence face recognition. IEEE Trans Circuits Syst Video Technol 16(6):771–775

    Article  Google Scholar 

  45. ORL face database AT&T Laboratories Cambridge. http://www.cl.cam.ac.uk/

  46. PolyU palmprint database The Hong Kong Polytechnic University. http://www4.comp.polyu.edu.hk/biometrics/

  47. Quan F, Fei S, Anni C, Feifei Z (2008) Cracking cancelable fingerprint template of ratha. In: Computer science and computational technology, 2008. ISCSCT’08. International symposium on, vol 2, pp 572–575

  48. Ratha N, Connell J, Bolle RM, Chikkerur S (2006) Cancelable biometrics: a case study in fingerprints. In: Pattern recognition, 2006. ICPR 2006. 18th international conference on, vol 4, pp 370–373

  49. Ratha NK, Connell JH, Bolle RM (2001) Enhancing security and privacy in biometrics-based authentication systems. IBM Syst J 40(3):614–634

    Article  Google Scholar 

  50. Savvides M, Kumar BV, Khosla PK (2004) Cancelable biometric filters for face recognition. In: Pattern recognition, 2004. ICPR 2004. Proceedings of the 17th international conference on, vol 3, pp 922–925

  51. Soutar C, Roberge D, Stoianov A, Gilroy R, Kumar BV (1998) Biometric encryption using image processing. In: Photonics West’98 Electronic Imaging, International Society for Optics and Photonics, pp 178–188

  52. Štruc V, Pavešić N (2010) The complete gabor-fisher classifier for robust face recognition. EURASIP Journal on Advances in Signal Processing 2010:31

  53. Štruc V, Pavešić N (2009) Gabor-based kernel partial-least-squares discrimination features for face recognition. Informatica (Vilnius) 20(1):115–138

    MATH  Google Scholar 

  54. Sutcu Y, Sencar HT, Memon N (2005) A secure biometric authentication scheme based on robust hashing. In: Proceedings of the 7th workshop on Multimedia and security, pp 111–116

  55. Teoh A, Jin B, Connie T, Ngo D, Ling C (2006) Remarks on biohash and its mathematical foundation. Inf Process Lett 100(4):145–150

    Article  MathSciNet  MATH  Google Scholar 

  56. Teoh ABJ, Ngo DCL (2006) Biophasor: Token supplemented cancellable biometrics. In: Control, Automation, Robotics and Vision, 2006. ICARCV’06. 9th International Conference on, pp 1–5

  57. Teoh ABJ, Yuang CT (2007) Cancelable biometrics realization with multispace random projections. IEEE Trans Syst Man Cybern B Cybern 37(5):1096–1106

    Article  Google Scholar 

  58. Uludag U, Pankanti S, Prabhakar S, Jain AK (2004) Biometric cryptosystems: issues and challenges. Proc IEEE 92(6):948–960

    Article  Google Scholar 

  59. Wang X, Shi BE (2010) Gpu implemention of fast gabor filters. In: Circuits and systems (ISCAS), proceedings of 2010 IEEE International Symposium on, pp 373–376

  60. Wang Y, Plataniotis KN (2010) An analysis of random projection for changeable and privacy-preserving biometric verification. IEEE Trans Syst Man Cybern B Cybern 40(5):1280–1293

    Article  Google Scholar 

  61. Xie S, Shan S, Chen X, Chen J (2010) Fusing local patterns of gabor magnitude and phase for face recognition. IEEE Trans Image Process 19(5):1349–1361

    Article  MathSciNet  Google Scholar 

  62. Yang B, Chen S (2013) A comparative study on local binary pattern (lbp) based face recognition: Lbp histogram versus lbp image. Neurocomputing 120:365–379

    Article  Google Scholar 

  63. Yang W, Hu J, Wang S, Yang J (2013) Cancelable fingerprint templates with delaunay triangle-based local structures. In: Cyberspace Safety and Security. Springer, pp 81–91

  64. Yi J, Su F (2014) Histogram of log-gabor magnitude patterns for face recognition. In: Acoustics, speech and signal processing (ICASSP), 2014 IEEE International Conference on, pp 519–523

  65. Yin Y, Liu L, Sun X (2011) Sdumla-hmt: a multimodal biometric database. In: Biometric Recognition. Springer, pp 260–268

  66. Zhang B, Shan S, Chen X, Gao W (2007) Histogram of gabor phase patterns (hgpp): A novel object representation approach for face recognition. IEEE Trans Image Process 16(1):57–68

    Article  MathSciNet  Google Scholar 

  67. Zhou Y, Kumar A (2011) Human identification using palm-vein images. IEEE Trans Inf Forensics Secur 6(4):1259–1274

    Article  Google Scholar 

  68. Zhou SR, Yin JP, Zhang JM (2013) Local binary pattern (lbp) and local phase quantization (lbq) based on gabor filter for face representation. Neurocomputing 116:260–264

    Article  Google Scholar 

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  1. Computer Science and Engineering, PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh, India

    Harkeerat Kaur & Pritee Khanna

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  1. Harkeerat Kaur
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  2. Pritee Khanna
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Kaur, H., Khanna, P. Cancelable features using log-Gabor filters for biometric authentication. Multimed Tools Appl 76, 4673–4694 (2017). https://doi.org/10.1007/s11042-016-3652-3

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