TY - JOUR ID - 92065 TI - Biometric Iris Recognition Approach Based on Filtering Techniques JO - Journal of Garmian University JA - JGU LA - ku SN - 23100087 AU - Kakarash, Zana Azeez AU - Abd, Dana Faiq AU - Al-Ani, Muzhir AU - Omar, Govar Abubakr AU - Mohammed, karwan AD - Information Technology,College of Science and Technology,University of Human development,Sulaimani City,Kurdistan Region,Iraq Y1 - 2019 PY - 2019 VL - 6 IS - 2 SP - 360 EP - 368 KW - Iris recognition KW - Biometric Recognition KW - image processing KW - image flittering DO - 10.24271/garmian.207023 N2 - Recently, the huge extension of Internet and Internet of Things (IoT) leading to millions of different types of data circulated all over the world. This data need to be secure and acceptable for those authenticated persons. So, it is important to develop an efficient and acceptable security approach in order to work at this environment with an acceptable security. This was the main objective of this research. The implemented approach concentrated on Iris recognition, which is an important part of biometrics. This approach including many steps such as: preprocessing, filtering, feature extraction and decision-making. The correlation operation was applied to measure the difference between the two samples. According to a certain threshold, the recognition rate was reached to 76%. UR - https://jgu.garmian.edu.krd/article_92065.html L1 - https://jgu.garmian.edu.krd/article_92065_07866390a010593e6e31e707cd79e849.pdf ER -