Results 21 to 30 of about 29,208 (270)
Sensors, 2023 Iris recognition has been considered as one of the most accurate and reliable biometric technologies, and it is widely used in security applications. Iris segmentation and iris localization, as important preprocessing tasks for iris biometrics, jointly ...
Jiangang Li, Xin Feng
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A new approach for iris segmentation [PDF]
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008 Iris segmentation is an important first step for high accuracy iris recognition. A robust iris segmentation procedure should be able to handle noise, occlusion and non-uniform lighting. It also impacts system accuracy - high FAR or FRR values may come directly from bad or wrong segmentations. In this paper a simple new approach for iris segmentation is
Jinyu Zuo +2 more
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IET Image Processing, 2023 Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
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CNN‐based off‐angle iris segmentation and recognition
IET Biometrics, 2021 Accurate segmentation and parameterisation of the iris in eye images still remain a significant challenge for achieving robust iris recognition, especially in off‐angle images captured in less constrained environments. While deep learning techniques (i.e.
Ehsaneddin Jalilian +2 more
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Robust and Swift Iris Recognition at distance based on novel pupil segmentation
Journal of King Saud University: Computer and Information Sciences, 2022 One of the most common and successful biometric frameworks is iris recognition, which has yielded promising results in systems of access control and identity authentication.
Ahmed Khudhur Nsaif +5 more
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An Adaptive CNNs Technology for Robust Iris Segmentation
IEEE Access, 2019 Iris segmentation algorithms are of great significance in complete iris recognition systems, and directly affect the iris verification and recognition results.
Ying Chen +3 more
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Engineering Science and Technology, an International Journal, 2023 A new deep learning-based iris recognition system is presented in the current study in the case of eye disease. Current state of art iris segmentation is either based on traditional low accuracy algorithms or heavy-weight deep-based models.
Abbadullah .H Saleh +1 more
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Iris Segmentation and Recognition
International Journal of Fuzzy Logic and Intelligent Systems, 2002 A new iris segmentation and recognition method is described. Combining a statistical classification and elastic boundary fitting, the iris is first segmented robustly and accurately. Once the iris is segmented, one-dimensional signals are computed in the iris and decomposed into multiple frequency bands.
Jaemin Kim, Seongwon Cho
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Watershed Based Iris SEgmentation [PDF]
, 2013 Recently, the research interest on biometric systems and applications has significantly grown up, aiming to bring the benefits of biometrics to the broader range of users. As signal processing and feature extraction play a very important role for biometric applications, they can be thought as a particular subset of pattern recognition techniques.
Maria Frucci +2 more
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Self-Supervised Learning Framework toward State-of-the-Art Iris Image Segmentation
Sensors, 2022 Iris segmentation plays a pivotal role in the iris recognition system. The deep learning technique developed in recent years has gradually been applied to iris recognition techniques.
Wenny Ramadha Putri +5 more
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