Fingerprint liveness detection using multiscale difference co-occurrence matrix

Optical Engineering

Volumn 55, Issue 6, 2016, Pages

  Yuan, Chengsheng ^a   Xia, Zhihua ^a   Sun, Xingming ^a   Sun, Decai ^b   Lv, Rui ^a  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b BOHAI UNIVERSITY   (China)

Author keywords

classification accuracy; difference co occurrence matrix; fingerprint liveness detection; multiscale difference co occurrence matrix; support vector machine; wavelet transform

Indexed keywords

IMAGE CLASSIFICATION; IMAGE PROCESSING; MATHEMATICAL OPERATORS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; VECTORS; WAVELET TRANSFORMS;

CLASSIFICATION ACCURACY; CO-OCCURRENCE-MATRIX; FINGERPRINT IDENTIFICATION; FINGERPRINT LIVENESS DETECTION; GOVERNMENTAL APPLICATIONS; RECOGNITION ACCURACY; SUPPORT VECTOR MACHINE CLASSIFIERS; VERTICAL DIFFERENCE;

PALMPRINT RECOGNITION;

EID: 84977125904     PISSN: 00913286     EISSN: 15602303     Source Type: Journal    
DOI: 10.1117/1.OE.55.6.063111     Document Type: Article

References (33)

1. X. Jia et al., "Multi-scale local binary pattern with filters for spoof fingerprint detection," Inf. Sci. 268(6), 91-102 (2014).
2. Q. Li and P. P. K. Chan, "Fingerprint liveness detection based on binarized statistical image feature with sampling from Gaussian distribution," in Int. Conf. on Wavelet Analysis and Pattern Recognition, pp. 13-17, IEEE (2014).
3. G. L. Marcialis et al., "First international fingerprint liveness detection competition - livdet 2009," in Int. Conf. on Image Analysis and Processing, pp. 12-23, Springer, Berlin Heidelberg (2009).
4. D. Yambay et al., "LivDet 2011 - Fingerprint liveness detection competition 2011," in 5th IAPR Int. Conf. on Biometrics, pp. 208-215, IEEE (2012).
5. R. Derakhshani et al., "Determination of vitality from a non-invasive biomedical measurement for use in fingerprint scanners," Pattern Recognit. 36(2), 383-396 (2003).
6. S. Schuckers and A. Abhyankar, "Detecting liveness in fingerprint scanners using wavelets: results of the test dataset," in Biometric Authentication, pp. 100-110, Springer, Berlin Heidelberg (2004).
7. B. Tan and S. Schuckers, "Liveness detection using an intensity based approach in fingerprint scanner," in Proc. of Biometrics Symp., Arlington (2005).
8. A. Antonelli et al., "Fake finger detection by skin distortion analysis," IEEE Trans. Inf. Forensics Secur. 1(3), 360-373 (2006).
9. Y. S. Moon et al., "Wavelet based fingerprint liveness detection," Electron. Lett. 41(20), 1112-1113 (2005).
10. J. Jia et al., "A new approach to fake finger detection based on skin elasticity analysis," in Advances in Biometrics, pp. 309-318, Springer, Berlin Heidelberg (2007).
11. S. B. Nikam and S. Agarwal, "Ridgelet-based fake fingerprint detection," Neurocomputing 72(10), 2491-2506 (2009).
12. B. Tan and S. Schuckers, "New approach for liveness detection in fingerprint scanners based on valley noise analysis," J. Electron. Imaging 17(1), 011009 (2008).
13. L. F. A. Pereira et al., "Spatial surface coarseness analysis: technique for fingerprint spoof detection," Electron. Lett. 49(4), 260-261 (2013).
14. A. Rattani and A. Ross, "Minimizing the impact of spoof fabrication material on fingerprint liveness detector,"in Int. Conf. on Image Processing, pp. 4992-4996 (2014).
15. M. Espinoza and C. Champod, "Using the number of pores on fingerprint images to detect spoofing attacks," in Int. Conf. on Hand-Based Biometrics, pp. 1-5, IEEE (2011).
16. S. Memon, N. Manivannan, and W. Balachandran, "Active pore detection for liveness in fingerprint identification system," in 19th Telecommunications Forum, pp. 619-622, IEEE (2011).
17. N. Manivanan, S. Memon, andW. Balachandran, "Automatic detection of active sweat pores of fingerprint using highpass and correlation filtering," Electron. Lett. 46(18), 1268-1269 (2010).
18. S. Hu et al., "Texture feature extraction based on wavelet transform and gray-level co-occurrence matrices applied to osteosarcoma diagnosis," Bio-Med. Mater. Eng. 24(11), 129-143 (2014).
19. A. Abhyankar and S. Schuckers, "Fingerprint liveness detection using local ridge frequencies and multiresolution texture analysis techniques," in IEEE Int. Conf. on Image Processing, pp. 321-324, IEEE (2006).
20. Z. A. Jhat, A. H. Mir, and S. Rubab, "Personal verification using fingerprint texture feature," Int. J. Secur. Appl. 5(3), 11-22 (2011).
21. H. Hashemahmed et al., "Fingerprint image enhancement based on threshold fast discrete curvelet transform (FDCT) and Gabor filters," Int. J. Comput. Appl. 110(3), 33-41 (2015).
22. X. Wen et al., "A rapid learning algorithm for vehicle classification," Inf. Sci. 295(1), 395-406 (2015).
23. D. Gragnaniello et al., "Local contrast phase descriptor for fingerprint liveness detection," Pattern Recognit. 48(4), 1050-1058 (2015).
24. A. Pokhriyal and S. Lehri, "A new method of fingerprint authentication using 2D wavelets," J. Theor. Appl. Inf. Technol. 13(2), 131-138 (2010).
25. F. He et al., "Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric," J. Electron. Imaging 23(3), 033019 (2014).
26. B. Gu et al., "Incremental support vector learning for ordinal regression," IEEE Trans. Neural Networks Learn. Syst. 26(7), 1403-1416 (2014).
27. L. Ghiani et al., "Livdet 2013 fingerprint liveness detection competition 2013," in Int. Conf. on Biometrics, pp. 1-6, IEEE (2013).
28. R. Frassetto Nogueira, R. de Alencar Lotufo, and R. Campos Machado, "Evaluating software-based fingerprint liveness detection using convolutional networks and local binary patterns," in Proc. IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, pp. 22-29, IEEE (2015).
29. C. Gottschlich et al., "Fingerprint liveness detection based on histograms of invariant gradients," in IEEE Int. Joint Conf. on Biometrics, pp. 1-7 (2014).
30. M. Lu, Z. Chen, and W. Sheng, "Fingerprint liveness detection based on pore analysis," in Biometric Recognition, pp. 233-240, Springer International Publishing, Tianjin, China (2015).
31. L. Ghiani et al., "Fingerprint liveness detection using binarized statistical image features," in IEEE Sixth Int. Conf. on Biometrics: Theory, Applications and Systems, pp. 1-6 (2013).
32. E. Marasco and C. Sansone, "Combining perspiration-and morphology-based static features for fingerprint liveness detection," Pattern Recognit. Lett. 33(9), 1148-1156 (2012).
33. D. Gragnaniello et al., "Fingerprint liveness detection based on weber local image descriptor," in IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, pp. 46-50, IEEE (2013).