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Erschienen in: International Journal of Machine Learning and Cybernetics 4/2013

01.08.2013 | Original Article

SIFT based iris recognition with normalization and enhancement

verfasst von: Gongping Yang, Shaohua Pang, Yilong Yin, Yanan Li, Xuzhou Li

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 4/2013

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Abstract

SIFT is a novel and promising method for iris recognition. However, some shortages exist in many related methods, such as difficulty of feature extraction, feature loss, and noise point introduction. In this paper, a new method named SIFT-based iris recognition with normalization and enhancement is proposed for achieving better performance. In Comparison with other SIFT-based iris recognition algorithms, the proposed method can overcome the difficulties of extreme point extraction and exclude the noise points without feature loss. Experimental results demonstrate that the normalization and enhancement steps are crucial for SIFT-based iris recognition, and the proposed method can achieve satisfactory recognition performance.

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Literatur
1.
Zurück zum Zitat Daugman J (1993) High confidence visual recognition of persons by a test of statistical independence. IEEE Trans Pattern Anal Mach Intell 15(11):1148–1161CrossRef Daugman J (1993) High confidence visual recognition of persons by a test of statistical independence. IEEE Trans Pattern Anal Mach Intell 15(11):1148–1161CrossRef
2.
Zurück zum Zitat Daugman J (2001) Statistical richness of visual phase information: update on recognizing persons by iris patterns. Int J Comput Vis 45(1):25–38MATHCrossRef Daugman J (2001) Statistical richness of visual phase information: update on recognizing persons by iris patterns. Int J Comput Vis 45(1):25–38MATHCrossRef
3.
Zurück zum Zitat Wildes RP, Asmuth JC, Green GL, Hsu SC, Kolczynski RJ, Matey JR, McBride SE (1996) A machine-vision system for iris recognition. Mach Vis Appl 9:1–8CrossRef Wildes RP, Asmuth JC, Green GL, Hsu SC, Kolczynski RJ, Matey JR, McBride SE (1996) A machine-vision system for iris recognition. Mach Vis Appl 9:1–8CrossRef
4.
Zurück zum Zitat Boles WW, Boashash B (1998) A human identification technique using images of the iris and wavelet transform. IEEE Trans Signal Process 46(4):1185–1188CrossRef Boles WW, Boashash B (1998) A human identification technique using images of the iris and wavelet transform. IEEE Trans Signal Process 46(4):1185–1188CrossRef
5.
Zurück zum Zitat Ma L, Tan T, Wang Y, Zhang D (2003) Personal identification based on iris texture analysis. IEEE Trans Pattern Anal Mach Intell 25(12):1519–1533CrossRef Ma L, Tan T, Wang Y, Zhang D (2003) Personal identification based on iris texture analysis. IEEE Trans Pattern Anal Mach Intell 25(12):1519–1533CrossRef
6.
Zurück zum Zitat Ma L, Tan T, Zhang D, Wang Y (2004) Local intensity variation analysis for iris recognition. Pattern Recognit 37(6):1287–1298CrossRef Ma L, Tan T, Zhang D, Wang Y (2004) Local intensity variation analysis for iris recognition. Pattern Recognit 37(6):1287–1298CrossRef
7.
Zurück zum Zitat Partio M, Cramariuc B, Gabbouj M (2004) Texture similarity evaluation using ordinal co-occurrence. In: Proceedings of the IEEE international conference on image processing, Singapore, pp 1537–1540 Partio M, Cramariuc B, Gabbouj M (2004) Texture similarity evaluation using ordinal co-occurrence. In: Proceedings of the IEEE international conference on image processing, Singapore, pp 1537–1540
8.
Zurück zum Zitat Tisse C, Martin L, Torres L, Robert M (2002) Person identification technique using human iris recognition. In: Proceedings of the international conference on vision interface, pp 294–299 Tisse C, Martin L, Torres L, Robert M (2002) Person identification technique using human iris recognition. In: Proceedings of the international conference on vision interface, pp 294–299
9.
Zurück zum Zitat Huang J, Ma L, Wang Y, Tan T (2004) Iris recognition based on local orientation description. In: Proceedings of the sixth Asian conference on computer vision, vol 2, Korea, pp 954–959 Huang J, Ma L, Wang Y, Tan T (2004) Iris recognition based on local orientation description. In: Proceedings of the sixth Asian conference on computer vision, vol 2, Korea, pp 954–959
10.
Zurück zum Zitat Noh S, Bae K, Kim J (2003) A novel method to extract features for iris recognition system. In: Proceedings of the fourth international conference on audio- and video-based biometric person authentication, Guildford, pp 838–844 Noh S, Bae K, Kim J (2003) A novel method to extract features for iris recognition system. In: Proceedings of the fourth international conference on audio- and video-based biometric person authentication, Guildford, pp 838–844
11.
Zurück zum Zitat Sanchez-Avila C, Sanchez-Reillo R (2005) Two different approaches for iris recognition using gabor filters and multiscale zero-crossing representation. Pattern Recognit 38(2):231–240CrossRef Sanchez-Avila C, Sanchez-Reillo R (2005) Two different approaches for iris recognition using gabor filters and multiscale zero-crossing representation. Pattern Recognit 38(2):231–240CrossRef
12.
Zurück zum Zitat Park C, Lee J, Smith M, Park K (2003) Iris-based personal authentication using a normalized directional energy feature. In: Proceedings of the fourth international conference on audio-and video-based biometric person authentication, Guildford, pp 224–232 Park C, Lee J, Smith M, Park K (2003) Iris-based personal authentication using a normalized directional energy feature. In: Proceedings of the fourth international conference on audio-and video-based biometric person authentication, Guildford, pp 224–232
13.
Zurück zum Zitat Lim S, Lee K, Byeon O, Kim T (2001) Efficient iris recognition through improvement of feature vector and classifier. ETRIJ 23(2):61–70CrossRef Lim S, Lee K, Byeon O, Kim T (2001) Efficient iris recognition through improvement of feature vector and classifier. ETRIJ 23(2):61–70CrossRef
14.
Zurück zum Zitat Thornton J, Savvides M, Kumar V (2007) A bayesian approach to deformed pattern matching of iris images. IEEE Trans Pattern Anal Mach Intell 29(4):596–606CrossRef Thornton J, Savvides M, Kumar V (2007) A bayesian approach to deformed pattern matching of iris images. IEEE Trans Pattern Anal Mach Intell 29(4):596–606CrossRef
15.
Zurück zum Zitat Cui J, Wang Y, Tan T, Ma L, Sun Z (2004) An iris recognition algorithm using local extreme points. In: Proceedings of the first international conference on biometric authentication, Hong Kong, pp 442–449 Cui J, Wang Y, Tan T, Ma L, Sun Z (2004) An iris recognition algorithm using local extreme points. In: Proceedings of the first international conference on biometric authentication, Hong Kong, pp 442–449
16.
Zurück zum Zitat Monro DM, Rakshit S, Zhang D (2007) DCT-based iris recognition. IEEE Trans Pattern Anal Mach Intell 29(4):586–595CrossRef Monro DM, Rakshit S, Zhang D (2007) DCT-based iris recognition. IEEE Trans Pattern Anal Mach Intell 29(4):586–595CrossRef
17.
Zurück zum Zitat Sun Z, Wang Y, Tan T, and Cui J (2004) Robust direction estimation of gradient vector field for iris recognition. In: Proceedings of the 17th international conference on pattern recognition, vol 2, Cambridge, pp 783–786 Sun Z, Wang Y, Tan T, and Cui J (2004) Robust direction estimation of gradient vector field for iris recognition. In: Proceedings of the 17th international conference on pattern recognition, vol 2, Cambridge, pp 783–786
18.
Zurück zum Zitat Mojtaba N, Sedigheh G (2011) Iris recognition based on using ridgelet and curvelet transform. Int J Signal Process Image Process Pattern Recognit 4(2):7–18 Mojtaba N, Sedigheh G (2011) Iris recognition based on using ridgelet and curvelet transform. Int J Signal Process Image Process Pattern Recognit 4(2):7–18
19.
Zurück zum Zitat Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110CrossRef Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comput Vis 60(2):91–110CrossRef
20.
Zurück zum Zitat Zhu R, Yang J, Wu R (2006) Iris recognition based on local feature point matching. In: International symposium on communications and information technologies, Bangkok, pp 451–454 Zhu R, Yang J, Wu R (2006) Iris recognition based on local feature point matching. In: International symposium on communications and information technologies, Bangkok, pp 451–454
21.
Zurück zum Zitat Belcher C, Du Y (2009) Region-based SIFT approach to iris recognition. Opt Lasers Eng 47(1):139–147CrossRef Belcher C, Du Y (2009) Region-based SIFT approach to iris recognition. Opt Lasers Eng 47(1):139–147CrossRef
22.
Zurück zum Zitat Wang L, Yang G, Yin Y (2010) Fast iris localization based on improved hough transform. In: Proceedings of RSKT’2010, Beijing, pp 439–446 Wang L, Yang G, Yin Y (2010) Fast iris localization based on improved hough transform. In: Proceedings of RSKT’2010, Beijing, pp 439–446
23.
24.
Zurück zum Zitat Bruce P, Amin MA, Yan H (2011) Performance evaluation and comparison of PCA Based human face recognition methods for distorted images. Int J Mach Learn Cybern 2(4):245–259CrossRef Bruce P, Amin MA, Yan H (2011) Performance evaluation and comparison of PCA Based human face recognition methods for distorted images. Int J Mach Learn Cybern 2(4):245–259CrossRef
Metadaten
Titel
SIFT based iris recognition with normalization and enhancement
verfasst von
Gongping Yang
Shaohua Pang
Yilong Yin
Yanan Li
Xuzhou Li
Publikationsdatum
01.08.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 4/2013
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0101-0

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