Towards Enhancing Non-Cooperative Iris Recognition using Improved Segmentation Methodology for Noisy Images
نویسندگان
چکیده
منابع مشابه
Iris segmentation methodology for non-cooperative recognition
An overview of the iris image segmentation methodologies for biometric purposes is presented. The main focus is on the analysis of the ability of segmentation algorithms to process images with heterogeneous characteristics, simulating the dynamics of a non-cooperative environment. The accuracy of the four selected methodologies on the UBIRIS database is tested and, having concluded about their ...
متن کاملAccurate Iris Segmentation Method for Non-Cooperative Iris Recognition System
Problem statement: Iris segmentation is one of the most important steps in iris recognition system and determines the accuracy of matching. Most segmentation methods in the literature assumed that the inner and outer boundaries of the iris were circular. Hence, they focus on determining model parameters that best fit these hypotheses. This is a source of error, since the iris boundaries were no...
متن کاملNew iris recognition method for noisy iris images
Division of Electronics and Electrical Engineering, Biometrics Engineering Research Center (BERC), Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Republic of Korea Dept. of Computer Science, Sangmyung University, 7 Hongji-dong, Jongno-gu, Seoul 110-743, Republic of Korea c Technical Research Institute, Hyundai Mobis, 80-9, Mabuk-dong, Giheong-gu, Yongin-si, Gyeonggi-do 446-716, R...
متن کاملRobust iris segmentation on uncalibrated noisy images using mathematical morphology
This paper proposes a new approach for fast iris segmentation that relies on the closed nested structures of iris anatomy (the sclera is brighter than the iris, and the iris is brighter than the pupil) and on its polar symmetry. The described method applies mathematical morphology for polar/radial-invariant image filtering and for circular segmentation using shortest paths from generalized grey...
متن کاملRobust and accurate iris segmentation in very noisy iris images
Iris segmentation plays an important role in an accurate iris recognition system. In less constrained environments where iris images are captured at-a-distance and on-the-move, iris segmentation becomes much more difficult due to the effects of significant variation of eye position and size, eyebrows, eyelashes, glasses and contact lenses, and hair, together with illumination changes and varyin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Artificial Intelligence
سال: 2017
ISSN: 1994-5450
DOI: 10.3923/jai.2017.76.84