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DCT-Based Iris Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007 This paper presents a novel iris coding method based on differences of discrete cosine transform (DCT) coefficients of overlapped angular patches from normalized iris images. The feature extraction capabilities of the DCT are optimized on the two largest publicly available iris image data sets, 2,156 images of 308 eyes from the CASIA database and 2,955
Donald M. Monro +2 more
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Probability-Possibility Theories Based Iris Biometric Recognition System
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2019 The performance and robustness of the iris-based recognition systems still suffer from imperfection in the biometric information. This paper makes an attempt to address these imperfections and deals with important problem for real system.
Bellaaj Majd
doaj +1 more source
High Biometric Recognition Based on Histogram and Semi-discrete Matrix Decomposition via Neural Network [PDF]
Engineering and Technology Journal, 2016 Iris recognition is regarded as the most reliable and accurate biometric identification system available highly protected and stable.Iris situating is the main focus in the procedure of iris recognition and verifies the precision of identification.
Ekbal Hussein Ali +2 more
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Iris recognition by artificial Elman neural network [PDF]
مجلة التربية والعلم, 2012 Iris recognition is regarded as the most reliable and accurate biometric identification system available. A biometric system provides automatic identification of an individual based on a unique feature or stable characteristic possessed by the individual.
Mawdah Suleiman
doaj +1 more source
Synthetic Iris Presentation Attack using iDCGAN
, 2017 Reliability and accuracy of iris biometric modality has prompted its large-scale deployment for critical applications such as border control and national ID projects.
Kohli, Naman +4 more
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An Improved Iris Segmentation Technique Using Circular Hough Transform [PDF]
, 2018 It is quite easy to spoof an automated iris recognition system using fake iris such as paper print and artificial lens. False Rejection Rate (FRR) and False Acceptance Rate (FAR) of a specific approach can be as a result of noise introduced in the ...
Ajulibe, Akachukwu +3 more
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Iris Recognition Using Scattering Transform and Textural Features
, 2015 Iris recognition has drawn a lot of attention since the mid-twentieth century. Among all biometric features, iris is known to possess a rich set of features. Different features have been used to perform iris recognition in the past.
Abdolrashidi, AmirAli +2 more
core +1 more source
Noisy Ocular Recognition Based on Three Convolutional Neural Networks
Sensors, 2017 In recent years, the iris recognition system has been gaining increasing acceptance for applications such as access control and smartphone security. When the images of the iris are obtained under unconstrained conditions, an issue of undermined quality ...
Min Beom Lee +2 more
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Face recognition technologies for evidential evaluation of video traces [PDF]
, 2017 Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its ...
Li, Chang-Tsun, Wei, Xingjie
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Optimal Generation of Iris Codes for Iris Recognition [PDF]
IEEE Transactions on Information Forensics and Security, 2017 The calculation of binary iris codes from feature values (e.g. the result of Gabor transform) is a key step in iris recognition systems. Traditional binarization method based on the sign of feature values has achieved very promising performance. However, currently, little research focuses on a deeper insight into this binarization method to produce ...
Yang Hu 0004 +2 more
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