Fingerprint liveness detection based on binarized statistical image feature with sampling from Gaussian distribution

International Conference on Wavelet Analysis and Pattern Recognition

Volumn 2014-January, Issue , 2014, Pages 13-17

  Li, Qiaoqiao ^a   Chan, Patrick P K ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

BSIF; Fingerprint liveness detection; Gaussian distribution

Indexed keywords

FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; PALMPRINT RECOGNITION; PIXELS; SAMPLING; WAVELET ANALYSIS;

BSIF; DESCRIPTORS; FINGERPRINT DETECTIONS; FINGERPRINT IMAGES; FINGERPRINT LIVENESS DETECTION; LIVENESS DETECTION; SECURITY APPLICATION; STATISTICAL IMAGES;

PATTERN RECOGNITION;

EID: 84977179077     PISSN: 21585695     EISSN: 21585709     Source Type: Conference Proceeding    
DOI: 10.1109/ICWAPR.2014.6961283     Document Type: Conference Paper

References (24)

1. Shankar Bhausaheb Nikam, &Suneeta Agarwal, "Texture and wavelet-based spoof fingerprint detection for fingerprint biometric systems," Emerging Trends in Engineering and Technology, ICETET'08. First International Conference on IEEE. Pp. 675-680, 2008.
2. T.Matsumoto, & H.Matsumoto, & K.Yamada, & S.Hoshino, "Impact of artificial gummy fingers on fingerprint system," in proc. of SPIE, vol.4677, no. 1, pp.275-289, 2002.
3. Sandstrom M, "Liveness detection in fingerprint recognition systems," pp.35-47, 2004.
4. Marcialis G L, & Roli F, Tidu A, "Analysis of fingerprint pores for vitality detection," Pattern Recognition (ICPR), 20th International Conference on IEEE, pp.1289-1292, 2010.
5. S.T.V. Parthasaradhi, & R Derakhshani, & L.A.Hornak, &S.A.C Schuckers, "Time-series detection of perspiration as a liveness test in fingerprint devices," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applic. And Rev., vol 35, no.3, pp.335-343, aug.2005.
6. Ojala T, & Pietikäainen M, & Mäaenpäaäa T, "Multi-resolution gray-scale and rotation invariant texture classification with localbinary patterns," I EEE Transactions on Pattern Analysis andMachin e Intelligence, pp 971-987, 2002
7. L.Ghiani, & G.Marialis, & F.Roli, "Fingerprint liveness detection by local phase quantization," In 2 1st International Conference on Pattern Recognitio n(ICPR20-12), pp 537-540, 2012
8. Luca Ghiani, & Abdenour Hadid, "Finger liveness detection using Binarized Statistical Image Features," Biometrics: Theory, Applications and Systems(BTAS) IEEE Sixth International Conference, pp 1-6,2013
9. Hastie T, The Elements of Statistical Learning:Data Mining, Inference, and Prediction.World Publi shing Corporation.2-009
10. MitchellT.M, Iun-HuaZeng(Trans.), "Machine Learning," ChinaMachinePress, pp.2-5, 2003
11. Sergios Thepdpridis, & Konstantinos Koutroumbas, "Pattern Recognition," China Machine Press. 2003
12. Mehryar Mohri, & Afshin Rostamizadeh, & Ameet Talwalkar, "Foundations of Machine Learning," The MIT Press, 2012
13. Richard O.Duda, & Peter E.Hart, & David G.Stork, "Pattern Classification," Wileylnterscience, pp.517-518, 2000
14. Carl B.Boyer, & Uta C Merzbach, a History of Mathematics. Wiley. 2011
15. Juho Kannala, & Esa Rahtu, "BSIF: binarized stati stical image features," In proc, 21st International Conference on Pattern Recognition, pp.1363-1366, 2012.
16. C.He,& T. Ahonen,& M.Pietikainen,"A Bayesian Local Binary Pattern Texture Descriptor,"Proc.Int'l Conf. Pattern Recognition,2008.
17. Yambay D, &Ghiani L, &Denti P, et aI, "LivDet 2011 Fingerprint liveness detection competition," Biometrics (ICB), 2012 5th IAPR International Conference onIEEE, pp.208-215, 2012.
18. Ghiani L, & Marcialis G L, &Roli F, "Fingerprint liveness detection by local phase quantization," Pattern Recognition (ICPR), 21st International Conference on IEEE, pp.537-540, 2012.
19. Wei Xiuxi, &Zhou Yongquan, "A new performance categories evaluation method based on ROC curve," Computer Technology and Development, vol.20, no.11,pp.47-51,2010
20. Jain, & Anil K., & Ruud Bolle, & Sharath Pankanti, eds. Biometrics: personal identification in networked society. Springer, 1999.
21. Bemmel V, & Mian S. Method and system for providing biometric authentication at a point-of-sale via a mobile device: U.S. Patent 7,512,567[P]. 2009.
22. Maltoni D, Maio D, Jain A K, et al. Handbook of fingerprint recognition [M]. Springer, 2009.
23. Arneson M R, & Blan B L, & Carim H M, et al. Biometric, personal authentication system: U.S. Patent 5,719,950[P]. 1998.
24. Hoffman N, & Lapsley P D, & Lee J A, et al. Anti-fraud biometric scanner that accurately detects blood flow: U.S. Patent 5,737,439[P]. 1998.