A combined Pulling & pushing and Active Contour method for pupil segmentation
نویسندگان
چکیده
Pupil segmentation is usually the first step used for searching iris regions. Iris localization is an extremely important procedure in iris biometrics systems, since the correct segmentation of inner and outer boundaries is critical to achieve high recognition rates. An iris localization method based on a spring force-driven iterative scheme, called Pulling & Pushing have been proposed by He et al. 2006. Here, we propose a pupil segmentation procedure that combines Pulling & Pushing and Active Contour Models, overcoming and improving the results of the previous method. We also developed a new strategy to identify and fill reflection points that appear inside the pupil. We tested our method in MMU1 and Casia V1 and V3 iris databases, obtaining accurate results.
منابع مشابه
ناحیهبندی مرز اندوکارد بطن چپ در تصاویر تشدید مغناطیسی قلبی با شدت روشنایی غیریکنواخت
The stochastic active contour scheme (STACS) is a well-known and frequently-used approach for segmentation of the endocardium boundary in cardiac magnetic resonance (CMR) images. However, it suffers significant difficulties with image inhomogeneity due to using a region-based term based on the global Gaussian probability density functions of the innerouter regions of the active ...
متن کاملA New Algorithm for Skin Lesion Border Detection in Dermoscopy Images
Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...
متن کاملActive Contour without Edges Vs GVF Active Contour for Accurate Pupil Segmentation
Iris localization is a critical step for an iris recognition system because it directly affects the recognition rates. Consequently, in order to have reasonably accurate measures, we should estimate as many iris boundaries as possible which are defined by papillary and ciliary regions. Due to the contraction which is an intrinsic propriety of the pupil and the variations in the shooting angle, ...
متن کاملA New Iris Segmentation Method Based on Improved Snake Model and Angular Integral Projection
Segmenting iris region is fundamental for iris-based biometric systems. The overall performance of an iris recognition system is highly dependent on accurate iris segmentation. In this paper, a new algorithm for iris segmentation is proposed towards more accurate and efficient segmentation, it detects the precise pupil contour and localizes the limbic boundary. An improved snake model is presen...
متن کاملNew Corneal Reflection Removal Method Used In Iris Recognition System
Images of human iris contain specular highlights due to the reflective properties of the cornea. This corneal reflection causes many errors not only in iris and pupil center estimation but also to locate iris and pupil boundaries especially for methods that use active contour. Each iris recognition system has four steps: Segmentation, Normalization, Encoding and Matching. In order to address th...
متن کامل