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Influence of segmentation on deep iris recognition performance
, 2020 Despite the rise of deep learning in numerous areas of computer vision and image processing, iris recognition has not benefited considerably from these trends so far.
Lozej, Juš +3 more
core +1 more source
Principles of Iris Recognition [PDF]
, 1999 Iris Identification can provide the linkage between three very important functions in modem transactions: Security of information, Virtually foolproof Personal Identification, and Protection of the Privacy of the individual. This paper will present an overview of the Iris as a means of individual identification with the capabilities of global ...
Michael Negin, Machiel van der Harst
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Advances in Cross-Spectral Iris Recognition Using Integrated Gradientface-Based Normalization
IEEE Access, 2019 Cross-spectral iris recognition represents the ability of the system to identify the iris images acquired in different electromagnetic spectrums. An iris captured in the near-infrared spectrum (NIR) is matched with an iris obtained in the visual light ...
Maulisa Oktiana +6 more
doaj +1 more source
IRIS SEGMENTATION USING GA BASED CIRCULAR HOUGH TRANSFORM (GACHT [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2008 Iris recognition system consists of a sequence of stages, each stage perform specific functions on the captured image of the human iris. The first stage is automatic segmentation of iris from the eye image.
Rabah N. Farhan
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A Colour Iris Recognition System Employing Multiple Classifier Techniques
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2013 The randomness of iris texture has allowed researchers to develop biometric systems with almost flawless accuracies. However, a common drawback of the majority of existing iris recognition systems is the constrained environment in which the user is ...
petru radu
doaj +1 more source
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
openaire +2 more sources
Review of Deep Learning Based Iris Recognition [PDF]
Jisuanji kexue yu tansuoThe highly accurate, secure, and stable biometric technology of iris recognition is well-known. The current iris recognition system shows stable performance under the condition of constraints on user status and acquisition equipment, but it cannot adapt ...
JIANG Jian, ZHANG Qi, WANG Caiyong
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Feature-domain super-resolution framework for Gabor-based face and iris recognition [PDF]
, 2012 The low resolution of images has been one of the major limitations in recognising humans from a distance using their biometric traits, such as face and iris.
Denman, Simon +3 more
core +2 more sources
Iris recognition method based on Harr wavelet and Log-Gabor transform
Dianzi Jishu Yingyong, 2019 In order to improve recognition accuracy of iris recognition，the iris image was disposed,as the result the iris region of image was accurately located and the normalized image was enhanced.
Yao Liping, Pan Zhongliang
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Mathematics, 2023 Iris recognition is a biometric method using the pattern of the iris seated between the pupil and the sclera for recognizing people. It is widely applied in various fields owing to its high accuracy in recognition and high security.
Jung Soo Kim +5 more
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