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A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 7، دوره 41، شماره 1، تیر 2009، صفحه 55-62 اصل مقاله (334.76 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2009.278 | ||
| نویسندگان | ||
| Samira Kooshkestanii1؛ Hamed Sadjediii2؛ Mohammad Pooyaniii3 | ||
| 1S. Kooshkestani is with the engineering department, Shahed University, Tehran, Iran (e-mail:Samira_mis@yahoo.com), | ||
| 2H. Sadjedi is with the engineering department, Shahed University, Tehran, Iran (e-mail:sadjedi@shahed.ac.ir | ||
| 3M. Pooyan is with the Engineering Department, Shahed University, Tehran, Iran (e-mail:pooyan@shahed.ac.i) | ||
| چکیده | ||
| With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This research focused on the last issue and describes a new scheme for iris recognition. This paper proposes a new method to find the inner boundary of the Iris for localizing its area in the eye images. The proposed method besides having higher speed and lower calculation cost and simplicity, has got an acceptable precision for internal boundary localizing the proposed algorithm for feature extraction, characterizing the important information via biorthogonal wavelet and experimental results show that the proposed method has an encouraging performance. | ||
| کلیدواژه‌ها | ||
| Biometrics؛ iris recognition؛ localizing؛ Feature Extraction | ||
| عنوان مقاله [English] | ||
| A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition | ||
| چکیده [English] | ||
| With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This research focused on the last issue and describes a new scheme for iris recognition. This paper proposes a new method to find the inner boundary of the Iris for localizing its area in the eye images. The proposed method besides having higher speed and lower calculation cost and simplicity, has got an acceptable precision for internal boundary localizing the proposed algorithm for feature extraction, characterizing the important information via biorthogonal wavelet and experimental results show that the proposed method has an encouraging performance. | ||
| کلیدواژه‌ها [English] | ||
| Biometrics, iris recognition, localizing, Feature Extraction | ||
| مراجع | ||
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[11] L Ma, T Tan, Y Wang, D Zhang, "Personal Identification Based on Iris Texture, Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 12, December 2003. [12] Z Sun, Y Wang, T Tan, J Cui," Improving Iris Recognition Accuracy Via Cascaded Classifiers", IEEE Transaction on ystem, Man, and, VOL. 35, NO. 3, August 2005. [13] D. H. Cho, K. R. Park, D. W. Rhee," Real-time Iris Localization for Iris Regnition in Cellular Phone", Sixth International Conference on Software engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, IEEE 2005. [14] C. Sanchez-Avila, R. Sanchez-Reillo, D. de Martin- Roche," Iris-Based Biometric Recognition using Dyadic Wavelet Transform", IEEE AESS Systems Magazine, October 2002. [15] H Sung, J Lim, J Park, Y Lee," Iris Recognition Using Collarette Boundary Localization", IEEE 17th International Conference on Pattern Recognition, 2004. [16] http://www.sinobiometrics.com [17] Jiali Cui, Yunhong Wang, Tieniu Tan, Li Ma, Zhenan Sun, “A Fast and Robust iris localization Method Based on texture Segmentation”, Biometric Technology for Human Identification. Proceedings of the SPIE, Volume 5404, pp. 401-4016 (2004). [18] Gong jun hui, Hu Ping, Lu Xiaochun,”Feature extraction and recognition of iris based on biorthogonal multiwavelets Feature extraction and recognition of iris based on biorthogonal multiwavelets “,Computer application 2006. [19] Keinosuke fukunaga ,”Introduction To Statistical Pattern Recognition”,Academic Press Inc.1973 & (SE 1990). [20] L. Masek, "Recognition of Human Iris Patterns for Biometric Identification",Thesis for the Bachelor of Engineering Degree of the School of Computer, Science and Software Engineering, The University of Western Australia, 2003. | ||
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