EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN

Öz Biometric systems are systems that enable individuals to be recognized in electronic environment using some physical and behavioral characteristics. Iris recognition system is one of the effective biometric recognition systems. The main goal of this study is recognition of the human from the iris images according to the local texture structures. The digital iris images were derived from CASIA database. The texture features were extracted from the four local iris regions of segmented image by using Gray Level CoOccurrence Matrix (GLCM). Totally 88 parameters were extracted for each image as a feature vector. Then, the obtained feature vectors were classified by using k-Nearest Neighbor (k-NN) classifier and the average performance of each system were compared according to different k values (1, 3, 5, 7 and 9). Finally, the best average performance among system architectures of iris recognition system was observed as 85 % in k=1 neighbor structure of k-NN classifier

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Bibtex @ { ejt376640, journal = {European Journal of Technique (EJT)}, issn = {2536-5010}, eissn = {2536-5134}, address = {INESEG Yayıncılık Dicle Üniversitesi Teknokent, Sur/Diyarbakır}, publisher = {Hibetullah KILIÇ}, year = {2016}, volume = {6}, pages = {44 - 52}, doi = {}, title = {EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN}, key = {cite}, author = {Acar, Emrullah} }
APA Acar, E . (2016). EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN . European Journal of Technique (EJT) , 6 (1) , 44-52 . Retrieved from https://dergipark.org.tr/tr/pub/ejt/issue/34031/376640
MLA Acar, E . "EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN" . European Journal of Technique (EJT) 6 (2016 ): 44-52 <https://dergipark.org.tr/tr/pub/ejt/issue/34031/376640>
Chicago Acar, E . "EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN". European Journal of Technique (EJT) 6 (2016 ): 44-52
RIS TY - JOUR T1 - EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN AU - Emrullah Acar Y1 - 2016 PY - 2016 N1 - DO - T2 - European Journal of Technique (EJT) JF - Journal JO - JOR SP - 44 EP - 52 VL - 6 IS - 1 SN - 2536-5010-2536-5134 M3 - UR - Y2 - 2021 ER -
EndNote %0 European Journal of Technique EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN %A Emrullah Acar %T EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN %D 2016 %J European Journal of Technique (EJT) %P 2536-5010-2536-5134 %V 6 %N 1 %R %U
ISNAD Acar, Emrullah . "EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN". European Journal of Technique (EJT) 6 / 1 (Nisan 2016): 44-52 .
AMA Acar E . EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN. EJT. 2016; 6(1): 44-52.
Vancouver Acar E . EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN. European Journal of Technique (EJT). 2016; 6(1): 44-52.
IEEE E. Acar , "EXTRACTION OF TEXTURE FEATURES FROM LOCAL IRIS AREAS BY GLCM AND IRIS RECOGNITION SYSTEM BASED ON KNN", European Journal of Technique (EJT), c. 6, sayı. 1, ss. 44-52, Nis. 2016