Identyfikatory
DOI
Warianty tytułu
Języki publikacji
Abstrakty
Iris based authentication methods are popular due to their reliability and dependability. This paper proposes the method of the iris recognition that instead uses only two fragments of the pattern. The presented method allows for a simpler iris extraction, as it does not use a complex conversion of an iris pattern from a circular to rectangular shape. The results obtained from this experiment show similarities to other previous ones. Importantly, the proposed method may be treated as an alternative solution. The experiment confirmed the validity of the concept for the proposed iris recognition method. Moreover, this method is quicker in comparison to the others. The additional merit of the proposed solution is the elimination of the distortion which comes from the eyelids and eyelashes at the beginning of the iris image processing. Moreover, this method does not require using additional techniques to eliminate disturbances.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
149--160
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
- Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland
Bibliografia
- [1] BOBULSKI J., KUBANEK M., Person identification system using an identikit picture of the suspect, Optica Applicata 42(4), 2012, pp. 865–873.
- [2] DAUGMAN J., High confidence visual recognition of persons by a test of statistical independence, IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11), 1993, pp. 1148–1161.
- [3] BOLES W.W., BOASHASH B., A human identification technique using images of the iris and wavelet transform, IEEE Transactions on Signal Processing 46(4), 1998, pp.1185–1188.
- [4] PATIL C.M., PATIL KULKARNI S., An approach of iris feature extraction for personal identification, 2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009, pp. 796–799.
- [5] WILDES R.P., Iris recognition: an emerging biometric technology, Proceedings of the IEEE 85(9), 1997, pp. 1348–1363.
- [6] MASEK L., Recognition of human iris patterns for biometric identification, B.Sc. Thesis, University of Western Australia, Australia, 2003; http://www.peterkovesi.com/studentprojects/libor/LiborMasekThesis.pdf
- [7] MONRO D.M, RAKSHIT S., DEXIN ZHANG, DCT-based iris recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 29(4), 2007, pp. 586–595.
- [8] WEIQI YUAN, BINXIU GAO, Iris recognition method based on surface match, Computer Engineering 33(05), 2007, pp. 176–179.
- [9] DONG-MEI WU, JIANG-NAN WANG, An improved iris recognition method based on gray surface matching, 2009 Fifth International Conference on Information Assurance and Security, Vol. 1, 2009, pp. 247–249.
- [10] SIBAI F.N, HOSANI H.I., NAQBI R.M., DHANHANI S., SHEHHI S., Iris recognition using artificial neural networks, Expert Systems with Applications 38(5), 2011, pp. 5940–5946.
- [11] ALI H., SALAMI M.J.E., WAHYUDI, Iris recognition system by using support vector machines, Proceedings of the International Conference on Computer and Communication Engineering, Kuala Lumpur, Malaysi, May 13–15, 2008, pp. 516–521.
- [12] KUBANEK M., Automatic methods for determining the characteristic points in face image, [In] Rutkowski L., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M. [Eds.], Artificial Intelligence and Soft Computing. ICAISC 2010, Lecture Notes in Computer Science, Vol. 6113, Springer, Berlin, Heidelberg, 2010, pp. 523–530.
- [13] FORCZMANSKI P., LABEDZ P., Recognition of occluded faces based on multi-subspace classification, [In] Saeed K., Chaki R., Cortesi A., Wierzchoń S. [Eds.], Computer Information Systems and Industrial Management, CISIM 2013, Lecture Notes in Computer Science, Vol. 8104, Springer, Berlin, Heidelberg, 2013, pp. 148–157.
- [14] MONAHENG M.S., KURUBA P., Iris recognition using circular Hough transform, International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) 2(8), 2013, pp. 3546–3553.
- [15] CHERABIT N., CHELALI F.Z., DJERADI A., Circular Hough transform for iris localization, Science and Technology 2(5), 2012, pp. 114–121.
- [16] BOBULSKI J., Wavelet transform in face recognition, Biometrics, Computer Security Systems and Artificial Intelligence Applications, Proceedings of 12th International Multi Conference on Advanced Computer Systems, Elk, Poland, Jun 30-Jul 03 2005, pp. 23–29.
- [17] CASIA Iris Image Database, http://biometrics.idealtest.org
- [18] PROENÇA H., ALEXANDRE L.A., UBIRIS: A noisy iris image database, 13th International Conference on Image Analysis and Processing – ICIAP 2005, Lecture Notes in Computer Science, Vol. 3617, Springer, 2005, pp. 970–977.
- [19] ZHU Y., TAN T., WANG Y., Biometric personal identification based on iris patterns, Proceedings of the 15th International Conference on Pattern Recognition, Spain, Vol. 2, 2000, pp. 805–808.
- [20] GULMIRE K., GANORKAR S., Iris recognition using independent component analysis, International Journal of Emerging Technology and Advanced Engineering 2(7), 2012, pp. 433–437.
- [21] HANNATH C.M., SHREEJA R., A new approach for iris recognition, International Journal of Computer Trends and Technology (IJCTT) 4(7), 2013, pp. 2290–2294.
- [22] PATIL P.S., Robust iris recognition based on orientation field, International Journal of Computer Applications 95(19), 2014, pp. 19–24.
- [23] MARCINIAK T., DĄBROWSKI A., CHMIELEWSKA A., KRZYKOWSKA A.A., Selection of parameters in iris recognition system, Multimedia Tools and Applications 68(1), 2014, pp. 193–208.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2ac26d9a-2141-48d7-8e06-7c261be3a973