Reducing the False Rejection Rate of Iris Recognition Using Textural and Topological Features
This paper presents a novel iris recognition system
using 1D log polar Gabor wavelet and Euler numbers. 1D log polar
Gabor wavelet is used to extract the textural features, and Euler
numbers are used to extract topological features of the iris. The
proposed decision strategy uses these features to authenticate an
individual-s identity while maintaining a low false rejection rate. The
algorithm was tested on CASIA iris image database and found to
perform better than existing approaches with an overall accuracy of
99.93%.
[1] J. G. Daugman, "High Confidence Visual Recognition of Persons by a
Test of Statistical Independence", IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol.15, No. 11, pp. 1148-1161,
1993.
[2] R. P. Wildes, "Iris Recognition: An Emerging Biometric Technology,"
Proceedings of the IEEE, Vol. 85, No. 9, 1999, pp. 1348-1363.
[3] W. W. Boles and B. Boashash, "A Human Identification Technique
Using Images of the Iris and Wavelet Transform", IEEE Transactions
on Signal Processing, Vol. 46, No. 4, 1998, pp. 1185-1188.
[4] N. Seung-In, P. Kwanghuk, L. Chulhan and K. Jaihie, "Multiresolution
Independent Component Identification", Proceedings of the 2002
International Technical Conference on Circuits/Systems, Computers and
Communications, 2002.
[5] C. H. Daouk, L. A. El-Esber, F. D. Kammoun, and M. A. Al-Alaoui,
"Iris Recognition", Proceedings of the 2nd IEEE International
Symposium on Signal Processing and Information Technology, 2002 pp.
558-562.
[6] C. Sanchez-Avila, R. Sanchez-Reillo and D. de Martin-Roche, "Iris
Recognition for Biometric Identification Using Dyadic Wavelet
Transform Zero-Crossing", Proceedings of the IEEE 35th International
Carnahan Conference on Security Technology, 2001, pp. 272 -277.
[7] L. Ma, T. Tan and Y. Wang., "Iris Recognition Based on Multichannel
Gabor Filtering", Proceedings of the International Conference on Asian
Conference on Computer Vision, 2002, pp. 1-5.
[8] L. Ma, T. Tan and Y. Wang, "Iris Recognition Using Circular
Symmetric Filters", International Conference on Pattern
Recognition, Vol.2 , 2002, pp. 414 -417.
[9] J. A. Dargham, A. Chekima, C. F. Liau and W. Lye, "Iris Recognition
Using Self- Organizing Neural Network", Student Conference on
Research and Development, 2002, pp. 169 -172.
[10] W.-S. Chen and S.-Y. Yuan, "A Novel Personal Biometric
Authentication Technique Using Human Iris Based on Fractal
Dimension Features", Proceedings of the International Conference on
Acoustics, Speech and Signal Processing, Vol. 3, 2003, pp. 201-204.
[11] Y. Zhu, T. Tan and Y. Wang, "Biometric Personal Identification Based
on Iris Patterns", Proceedings of the IEEE International Conference on
Pattern Recognition, 2000, pp. 2801-2804.
[12] C.-L. Tisse and L. Michel Torres, "Robert, Person Identification
Technique Using Human Iris Recognition", Proceedings of the 15th
International Conference on Vision Interface, 2002, pp. 294-299.
[13] S. Lim, K. Lee, O. Byeon, T. Kim, "Efficient Iris Recognition through
Improvement of Feature Vector and Classifier", Journal of Electronics
and Telecommunication Research Institute, Vol. 23, No. 2, 2001, pp. 61
- 70.
[14] J. G. Daugman, "Statistical Richness of Visual Phase Information:
Update on Recognizing Persons by Iris Patterns", International Journal
of Computer Vision, Vol. 45, No. 1, 2001, pp. 25 - 38.
[15] L. Machala and J. Pospisil, "Alternatives of the Statistical Evaluation of
the Human Iris Structure", Proceedings of the SPIE, Vol. 4356, 2001,
pp. 385-393.
[16] E. V. Gurianov, D. A. Zimnyakov and V. A. Galanzha, "Iris Patterns
Characterization by Use of Wiener Spectra Analysis: Potentialities and
Restrictions", Proceedings of the SPIE, Vol. 4242, 2001, pp. 286-290.
[17] K. Petr, A. Muron and P. Jaroslav, "Human Iris Structure by the Method
of Coherent Optical Fourier Transform", Proceedings of the SPIE, Vol.
4356, 2001, pp. 394-400.
[18] V. Della, A. Michael, T. Chmielewski, T. A. Camus, M. Salganicoff and
M. Negin, "Methodology and Apparatus for Using the Human Iris as a
Robust Biometric", Proceedings of the SPIE, Vol. 3246, 1998, pp. 65-
74.
[19] A. Muron, K Petr. and P. Jaroslav, "Identification of Persons by Means
of the Fourier Spectra of the Optical Transmission Binary Models of the
Human Irises", Optics Communications, Vol. 192, 2001, pp. 161-167.
[20] J. M. H. Ali and A. E. Hassanien, "An Iris Recognition System to
Enhance E-security Environment Based on Wavelet Theory", AMO -
Advanced Modeling and Optimization, Vol. 5, No. 2, 2003, pp. 93-104.
[21] L. Ma, T. Tan, Y. Wang and D. Zhang, "Efficient Iris Recognition by
Characterizing Key Local Variations", IEEE Transactions on Image
Processing, Vol. 13, No. 6, 2004, pp. 739-750.
[22] T. Tan, L. Ma, Y. Wang and D. Zhang, "Personal Identification based on
Iris Texture Analysis", IEEE Transactions on Pattern Analysis and
Machine Intelligence, Vol. 25, No. 12, 2003, pp. 1519-1533.
[23] B. R. Meena, M. Vatsa, R. Singh and P. Gupta, "Iris Based Human
Verification Algorithms", Proceedings of International Conference on
Biometric Authentication, 2004, pp. 458-466.
[24] H. Freeman, "Computer Processing of Line - Drawing Images",
Computer Surveys, Vol. 6, No. 1, 1974, pp. 57-97.
[25] C. Palm and T. M. Lehmann, "Classification of Color Textures by Gabor
Filtering", Machine Graphics and Vision, Vol. 11, No. 2/3, 2002, pp.
195-219.
[26] Gonzalez and Woods, (2001), Digital Image Processing, Second
Edition, Pearson Education.
[27] http://nlpr-web.ia.ac.cn/english/irds/irisdatabase.htm
[1] J. G. Daugman, "High Confidence Visual Recognition of Persons by a
Test of Statistical Independence", IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol.15, No. 11, pp. 1148-1161,
1993.
[2] R. P. Wildes, "Iris Recognition: An Emerging Biometric Technology,"
Proceedings of the IEEE, Vol. 85, No. 9, 1999, pp. 1348-1363.
[3] W. W. Boles and B. Boashash, "A Human Identification Technique
Using Images of the Iris and Wavelet Transform", IEEE Transactions
on Signal Processing, Vol. 46, No. 4, 1998, pp. 1185-1188.
[4] N. Seung-In, P. Kwanghuk, L. Chulhan and K. Jaihie, "Multiresolution
Independent Component Identification", Proceedings of the 2002
International Technical Conference on Circuits/Systems, Computers and
Communications, 2002.
[5] C. H. Daouk, L. A. El-Esber, F. D. Kammoun, and M. A. Al-Alaoui,
"Iris Recognition", Proceedings of the 2nd IEEE International
Symposium on Signal Processing and Information Technology, 2002 pp.
558-562.
[6] C. Sanchez-Avila, R. Sanchez-Reillo and D. de Martin-Roche, "Iris
Recognition for Biometric Identification Using Dyadic Wavelet
Transform Zero-Crossing", Proceedings of the IEEE 35th International
Carnahan Conference on Security Technology, 2001, pp. 272 -277.
[7] L. Ma, T. Tan and Y. Wang., "Iris Recognition Based on Multichannel
Gabor Filtering", Proceedings of the International Conference on Asian
Conference on Computer Vision, 2002, pp. 1-5.
[8] L. Ma, T. Tan and Y. Wang, "Iris Recognition Using Circular
Symmetric Filters", International Conference on Pattern
Recognition, Vol.2 , 2002, pp. 414 -417.
[9] J. A. Dargham, A. Chekima, C. F. Liau and W. Lye, "Iris Recognition
Using Self- Organizing Neural Network", Student Conference on
Research and Development, 2002, pp. 169 -172.
[10] W.-S. Chen and S.-Y. Yuan, "A Novel Personal Biometric
Authentication Technique Using Human Iris Based on Fractal
Dimension Features", Proceedings of the International Conference on
Acoustics, Speech and Signal Processing, Vol. 3, 2003, pp. 201-204.
[11] Y. Zhu, T. Tan and Y. Wang, "Biometric Personal Identification Based
on Iris Patterns", Proceedings of the IEEE International Conference on
Pattern Recognition, 2000, pp. 2801-2804.
[12] C.-L. Tisse and L. Michel Torres, "Robert, Person Identification
Technique Using Human Iris Recognition", Proceedings of the 15th
International Conference on Vision Interface, 2002, pp. 294-299.
[13] S. Lim, K. Lee, O. Byeon, T. Kim, "Efficient Iris Recognition through
Improvement of Feature Vector and Classifier", Journal of Electronics
and Telecommunication Research Institute, Vol. 23, No. 2, 2001, pp. 61
- 70.
[14] J. G. Daugman, "Statistical Richness of Visual Phase Information:
Update on Recognizing Persons by Iris Patterns", International Journal
of Computer Vision, Vol. 45, No. 1, 2001, pp. 25 - 38.
[15] L. Machala and J. Pospisil, "Alternatives of the Statistical Evaluation of
the Human Iris Structure", Proceedings of the SPIE, Vol. 4356, 2001,
pp. 385-393.
[16] E. V. Gurianov, D. A. Zimnyakov and V. A. Galanzha, "Iris Patterns
Characterization by Use of Wiener Spectra Analysis: Potentialities and
Restrictions", Proceedings of the SPIE, Vol. 4242, 2001, pp. 286-290.
[17] K. Petr, A. Muron and P. Jaroslav, "Human Iris Structure by the Method
of Coherent Optical Fourier Transform", Proceedings of the SPIE, Vol.
4356, 2001, pp. 394-400.
[18] V. Della, A. Michael, T. Chmielewski, T. A. Camus, M. Salganicoff and
M. Negin, "Methodology and Apparatus for Using the Human Iris as a
Robust Biometric", Proceedings of the SPIE, Vol. 3246, 1998, pp. 65-
74.
[19] A. Muron, K Petr. and P. Jaroslav, "Identification of Persons by Means
of the Fourier Spectra of the Optical Transmission Binary Models of the
Human Irises", Optics Communications, Vol. 192, 2001, pp. 161-167.
[20] J. M. H. Ali and A. E. Hassanien, "An Iris Recognition System to
Enhance E-security Environment Based on Wavelet Theory", AMO -
Advanced Modeling and Optimization, Vol. 5, No. 2, 2003, pp. 93-104.
[21] L. Ma, T. Tan, Y. Wang and D. Zhang, "Efficient Iris Recognition by
Characterizing Key Local Variations", IEEE Transactions on Image
Processing, Vol. 13, No. 6, 2004, pp. 739-750.
[22] T. Tan, L. Ma, Y. Wang and D. Zhang, "Personal Identification based on
Iris Texture Analysis", IEEE Transactions on Pattern Analysis and
Machine Intelligence, Vol. 25, No. 12, 2003, pp. 1519-1533.
[23] B. R. Meena, M. Vatsa, R. Singh and P. Gupta, "Iris Based Human
Verification Algorithms", Proceedings of International Conference on
Biometric Authentication, 2004, pp. 458-466.
[24] H. Freeman, "Computer Processing of Line - Drawing Images",
Computer Surveys, Vol. 6, No. 1, 1974, pp. 57-97.
[25] C. Palm and T. M. Lehmann, "Classification of Color Textures by Gabor
Filtering", Machine Graphics and Vision, Vol. 11, No. 2/3, 2002, pp.
195-219.
[26] Gonzalez and Woods, (2001), Digital Image Processing, Second
Edition, Pearson Education.
[27] http://nlpr-web.ia.ac.cn/english/irds/irisdatabase.htm
@article{"International Journal of Information, Control and Computer Sciences:54728", author = "M. Vatsa and R. Singh and A. Noore", title = "Reducing the False Rejection Rate of Iris Recognition Using Textural and Topological Features", abstract = "This paper presents a novel iris recognition system
using 1D log polar Gabor wavelet and Euler numbers. 1D log polar
Gabor wavelet is used to extract the textural features, and Euler
numbers are used to extract topological features of the iris. The
proposed decision strategy uses these features to authenticate an
individual-s identity while maintaining a low false rejection rate. The
algorithm was tested on CASIA iris image database and found to
perform better than existing approaches with an overall accuracy of
99.93%.", keywords = "Iris recognition, textural features, topological
features.", volume = "2", number = "7", pages = "2367-7", }