TY - JOUR TT - Research on Retinal and Iris Identification Systems AU - Ulgen Sonmez, Yesim PY - 2017 DA - February JF - European Journal of Engineering and Natural Sciences PB - CNR Çevre WT - DergiPark SN - 2458-8156 SP - 167 EP - 180 VL - 2 IS - 1 KW - Biometrics KW - Iris identification System N2 - Biometrics is the science thatanalyzes biological data and also the technology that measures biological data.Biometric systems make identification or identity verification by usingmeasurable, distinctive physical and behavioral properties of humans. The mostwidely used biometrics techniques rely on finger prints, palm, hand geometry,iris, retina, face, ear shape, vein, signature, hand writing and voiceidentification of an individual. Iris identification systems and retinaidentification systems are the most accurate and reliable identifyingtechniques. Iris is a circular structure surrounding the pupil, which determineseye color. The iris is a very rich tissue and it has a unique texture. Thistexture is different for each individual and it will stay same throughout theirlives. Iris identification systems use the mathematical pattern-identificationalgorithms and statistical methods on individuals’ captured iris images.Retina, similar to iris, is unique for each person and has an unchangingtexture throughout the life, except for some side effects of diseases. Retinathat is located in the back side of the eye is responsible for vision. The meshof blood vessels in retina is very complicated and distinctive. In retinaidentification systems, firstly, infrared light is radiated into the eye andblood vessels create unique reflections of this light. Retina identification isused in many areas from security systems to medical applications. This studyexamines and presents similarities and differences between two ocular biometricsystems which are iris identification systems and retina identificationsystems. Analysis has also been carried out suing the findings of this study. CR - [1]. Turhan C., Ceyhan, E., Sağıroğlu Ş., Biyometrik Sistemlerde Güvenlik Üzerine Bir İnceleme, www.iscturkey.org, access: 03.03.2016. CR - [2]. Yalçın, N., Gürbüz, F., 2015. Biyometrik Güvenlik Sistemlerinin İncelenmesi, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, cilt 3, no. 2, pp. CR - [3]. Elumalai, K., Kannan, M., 2011. Multimodal Authentication For High End Security, International Journal on Computer Science and Engineering (IJCSE), 3(2), 687-692. CR - [4]. Jain, K., Bolle, R., Pankanti, S., 1999. Biometrics: Personal identification in Networked Society, Springer Science and Business Media. CR - [5]. Ergen, B., Çalışkan, A., 2011. Biyometrik Sistemler ve El Tabanlı Biyometrik Tanıma Karakteristikleri, 6th International Advanced Technologies Symposium, Elazığ-Türkiye. CR - [6]. Jain, A.K., Ross, A., Prabhakar, S., 2004. An Introduction to Biometric identification, IEEE Transaction on Circuits and Systems for Video Technology, vol.14, no.1, pp.4-20. CR - [7]. Şamlı, R., Yüksel, M. E., 2009. Biyometrik Güvenlik Sistemleri, Akademik Bilişim, Şanlıurfa-Türkiye. CR - [8]. Liu, S., Silverman, M., 2001. A Practical Guide to Biometric Security Technology, IT Professional, vol. 3, no. 1, pp. 27-32. CR - [9]. Unar, J., Senga, W., Abbasia, A., 2014. A Review of Biometric Technology Along with Trends and Prospects, Pattern identification, vol. 47, pp.2673-2688. CR - [10]. Monrose, F., Rubin, A., 1997. Authentication via Keystroke Dynamics, 4th ACM Conference on Computer and Communications Security, Switzerland, pp. 48-56. CR - [11]. http://www.biyolojisitesi.net/tum%20uniteler/denetleme_ve_duzenleme/gorme_nasil_gerceklesir.html, access: 6.1.2016. CR - [12]. Yücel, E. Işık, Renk ve Elektromanyetk Spektrum,http://www.akat.org/sizin_icin/elektromagnetik_tayf.pdf, access: 6.1.2016. CR - [13]. Alkoot, Fuad M., 2012. A Review On Advances In Iris identification Methods, International Journal of Computer Engineering Research, vol. 3(1), pp. 1-9, Kuwait. CR - [14]. http://www.biltek.tubitak.gov.tr/haberler/tip/s528_5.pdf, access: 6.1.2016. CR - [15]. Tasyapi Celebi A., Güllü, Kemal M., Ertürk, S., 2009. Low-complexity Iris identification Using One-bit Transform and Angular Radial Partitioning, 2009 IEEE 17th Signal Processing and Communications Applications Conference. CR - [16]. http://www.ergosis.com.tr/iris-tanima-teknolojisi.html, access: 6.1.2016. CR - [17]. Daugman, J., 2003. Demodulation by Comlex-Valued Wavelets for Stochastic Pattern identification, Int. J. Wavelets, Multi-Res. and ınfo. Processing. 1(1): 1-17. CR - [18]. Daugman, J., Downing, C., 1995. Demodulation, Predictive Coding and Spatial Vision, J. Opt. Soc. Am. A 12: 641-660. CR - [19]. Sanchez-Avila, C., Sanchez-Reillo, R., 2002. Iris-Based Biometric identification Using Dyadic Wavelet Transform, IEEE Aerosp. Electron. Sys. Mag., 17:3-6. CR - [20]. Lim, S., Lee, K., Byeon, O., Kim, T., 2001.Efficient İris identification Through İmprovement of Feature Vector and Classifier, ETRI J. 23(2): 1-70 CR - [21]. Wildes, R., Asmuth, J., Green, G., Hsu, S., Kolczynski, R., Matey, J., McBride, S., 1996. A Machine-Vision System for Irıs identification, Mach. Vis. Applic., 9: 1-8. CR - [22]. Zhu, Y., Tan, T., Wang, Y., 2000. Biometric Personal identification Based On Iris Patterns, Int. Conf. Pattern identification, II:805-808. CR - [23]. Ma, L., 2003. Personal identification Based On Iris identification, Ph.D dissertation, China. CR - [24]. Jain, A., Ross, A., Nandakumar, K., İntroduction to Biometrics, https://books.google.com.tr/, access: 6.1.2016. CR - [25]. Wildes, R., 1994. A System for Automated Iris identification, 2nd IEEE Workshop Applicat. Comput. Vision, pp.121-128. CR - [26]. Jones, M. J., Guo, G., 2008. Iris Extraction Based on Intensity Gradient and Texture Difference, IEEE Workshop on Applications of Computer Vision Conference. CR - [27]. Ziauddin, S., Dailey M., 2010. Robust Iris Verification for Key Management, Pattern identification Letters, 31(9). CR - [28]. Perez, C. A., Aravena, C. M., Vallejos, J. I., Estevez, P. A., Held, C. M. 2010.Face and Iris Localization Using Templates Designed by Particle Swarm Optimization, Pattern identification Letters, 31(9): 857-868. CR - [29]. Lim, S., Lee, K., Byeon, O., Kim, T., 2001. Efficient Iris identification Through Improvement of Feature Vector and Classifier. ETRI J. 23(2): 1-70. CR - [30]. Boles, W., Boashash, B., 1998. A Human identification Technique Using Images of Iris and Wavelet Transform, IEEE Transaction on Signal Processing, 46(4). UR - https://dergipark.org.tr/tr/pub/ejens/issue//292858 L1 - https://dergipark.org.tr/tr/download/article-file/277265 ER -