Iris recognition based on a novel variation of local binary pattern

Visual Computer

Volumn 31, Issue 10, 2015, Pages 1419-1429

  Li, Chengcheng ^a   Zhou, Weidong ^a   Yuan, Shasha ^a  

^a SHANDONG UNIVERSITY   (China)

Author keywords

Average local binary pattern; Iris recognition; NN classifier; SVM classifier

Indexed keywords

FACE RECOGNITION; GRAPHIC METHODS; IMAGE RETRIEVAL; PIXELS; SUPPORT VECTOR MACHINES;

COMPUTATION COMPLEXITY; HISTOGRAM EQUALIZATIONS; HISTOGRAM FEATURES; IRIS RECOGNITION; LOCAL BINARY PATTERNS; NEAREST NEIGHBOR CLASSIFIER; NN CLASSIFIERS; SVM CLASSIFIERS;

BIOMETRICS;

EID: 84941023668     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-014-1023-5     Document Type: Article

References (26)

1. Ma, L., Tan, T., Wang, Y., et al.: Efficient iris recognition by characterizing key local variations. IEEE Trans. Image Process. 13(6), 739–750 (2004)
2. Jain, A.K., Bolle, R., Pankanti, S.: Biometrics: Personal Identification in Networked Society pp. 43–64. Springer, Berlin (1999)
3. Islam, M.R., Wang, Y.C., Khatun, A.: Partial iris image recognition using wavelet based texture features. In: International Conference on Intelligent and Advanced Systems (ICIAS), pp. 1–6. IEEE, New York (2010)
4. Daugman, J.: High Confidence Visual Recognition of Persons by Test of Statistical Independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(8), 1148–1161 (1995)
5. Wildes, R.P.: Iris recognition: an emerging biometric technology. Proc. IEEE 85(9), 1348–1363
6. Bowyer, K.W., Hollingsworth, K., Flynn, P.J.: Image understanding for iris biometrics: a survey. Comput. Vis. Image Underst. 110(2), 281–307 (2008)
7. Sun, Z., Tan, T., Wang, Y.: Robust encoding of local ordinal measures: a general framework of iris recognition. In: Biometric Authentication, vol. 3087, pp. 270–282. Springer, Berlin
8. Monro, D.M., Rakshit, S., Zhang, D.: DCT-based iris recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(4), 586–595 (2007)
9. Rahulkar, A.D., Waghmare, L.M., Holambe, R.S.: A new approach to the design of hybrid finer directional wavelet filter bank for iris feature extraction and classification using k-out-of-n: apost-classifier. Pattern Anal. Appl. 17(3), 529–547 (2014)
10. Arya, K.V., Gupta, G.K.: Robust iris identification system using local descriptors. In: International Conference on Signal Processing and Integrated Networks (SPIN), pp. 744–748. IEEE, New York (2014)
11. Ojala, T., Pietikainen, M., Maenpaa, T.: Gray scale and rotation invariant texture classification with local binary patterns. In: Computer Vision-ECCV, pp. 404–420 (2000)
12. Ren, J., Jiang, X., Yuan, J.: Noise-resistant local binary pattern with an embedded error–correction mechanism. IEEE Trans. Image Process. 22(10), 4049–4060 (2013)
13. Liao, S., Law Max, W.K., Chung Albert, C.S.: Dominant local binary patterns for texture classification. IEEE Trans. Image Process. 18(5), 1107–1118 (2009)
14. Zhao, Y., Huang, D.S., Jia, W.: Completed local binary count for rotation invariant texture classification. IEEE Trans. Image Process. 21(10), 4492–4497 (2012)
15. Huang, D., Shan, C., Ardabilian, M., et al.: Local binary patterns and its application to facial image analysis: a survey. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 41(6), 765–781(2011)
16. Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)
17. Feng, X., Pietikainen, M., Hadid, A.: Facial expression recognition with local binary patterns and linear programming. Adv. Artif. Intell. 3789, 328–336 (2005)
18. Zhang, L., Chu, R., Xiang, S., et al.: Face detection based on multi-block lbp representation. In: Advances in Biometrics, vol. 4642, pp. 11–18 (2007)
19. Yuan, W., Xu, L., Lin, Z.H.: An accurate and fast iris location method based on the features of human eyes. In: Proceedings of the 2nd International Conference on Fuzzy Systems and Knowledge DiscoveryChangsha, China, vol. 3614, pp. 306–315. (2005)
20. Knerr, S., Personnaz, L., Dreyfus, G.: Single-layer learning revisited: a stepwise procedure for building and training a neural network. In: Neurocomputing 1990, pp. 41–50. (1990)
21. Tan, T.N., Sun, Z.N.: CASIA (2009) Iris Image Database, http://www.cbsr.ia.ac.cn/irisdatabase.htm (2009)
22. Proenca, H., Alexandre, L.A.: UBIRIS: a noisy iris image database. In: 13th International Conference on Image Analysis and Processing. In: LNCS, vol. 3617, pp. 970–977. Springer, Berlin (2005)
23. Wang, Y., Han, J.: Iris recognition using support vector machines. In: Advances in Neural Networks—ISNN, pp. 622–628. (2004)
24. Roy, K., Bhattacharya, P., Debnath, R.C.: Multi-class SVM based iris recognition. In: 10th International Conference on Computer and Information Technology, iccit 2007, pp. 1–6. IEEE, New York (2007)
25. Ng, T.W., Tay, T.L., Khor, S.W.: Iris recognition using rapid Haar wavelet decomposition. In: 2010 2nd International Conference on Signal Processing Systems (ICSPS), vol. 1, pp. V1-820–V1-823. IEEE, New York (2010)
26. Zhang, H., Guan, X.: Iris recognition based on grouping KNN and Rectangle Conversion. In: 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS), pp. 131–134. IEEE, New York (2012)