Shape adaptive, robust iris feature extraction from noisy iris images
نویسندگان
چکیده
منابع مشابه
shape adaptive, robust iris feature extraction from noisy iris images
in the current iris recognition systems, noise removing step is only used to detect noisy parts of the iris region and features extracted from there will be excluded in matching step. whereas depending on the filter structure used in feature extraction, the noisy parts may influence relevant features. to the best of our knowledge, the effect of noise factors on feature extraction has not been c...
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 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 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 کاملFeature Extraction for Iris Recognition
In this paper, we evaluate the performance of feature extraction methods for iris pattern classification. Generally, the identification system using iris recognition consists of the iris localization block and the iris pattern classification block. In this paper, we used the 2D bisection-based Hough transform and the radius histogram method for the iris localization and we used multilayer perce...
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 Medical Signals & Sensors
سال: 2013
ISSN: 2228-7477
DOI: 10.4103/2228-7477.128333