Iris recognition ≈ Iris recognition
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Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective Open
Iris recognition refers to the automated process of recognizing individuals based on their iris patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for biometric recognition. The textural nuances of an i…
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Biometric decision landscapes Open
This report investigates the “decision landscapes” that characterize several forms of biometric decision making. The issues discussed include: (i) Estimating the degrees-of-freedom associated with different biometrics, as a way of measurin…
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A multi-biometric iris recognition system based on a deep learning approach Open
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, i…
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Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits Open
With the increasing demand for information security and security regulations all over the world, biometric recognition technology has been widely used in our everyday life. In this regard, multimodal biometrics technology has gained intere…
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Combining cryptography with biometrics effectively Open
We propose the first practical and secure way to integrate the iris biometric into cryptographic applications. A repeatable binary string, which we call a biometric key, is generated reliably from genuine iris codes. A well-known difficult…
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A Deep Learning Iris Recognition Method Based on Capsule Network Architecture Open
Iris recognition is one of the most representative identification technologies in biometric recognition, which is widely used in various fields. Recently, many deep learning methods have been used in biometric recognition, owing to their a…
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IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors Open
The recent advancements in computer vision have opened new horizons for deploying biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition is now much needed in unconstraint scenarios with accuracy. Thes…
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Face–Iris Multimodal Biometric Identification System Open
Multimodal biometrics technology has recently gained interest due to its capacity to overcome certain inherent limitations of the single biometric modalities and to improve the overall recognition rate. A common biometric recognition syste…
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Deep Learning-Based Iris Segmentation for Iris Recognition in Visible Light Environment Open
Existing iris recognition systems are heavily dependent on specific conditions, such as the distance of image acquisition and the stop-and-stare environment, which require significant user cooperation. In environments where user cooperatio…
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Gender Classification From the Same Iris Code Used for Recognition Open
Previous researchers have explored various approaches for predicting the gender of a person based on the features of the iris texture. This paper is the first to predict gender directly from the same binary iris code that could be used for…
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Convolutional Neural Network Based Feature Extraction for IRIS Recognition Open
Iris is a powerful tool for reliable human identification.It has the potential to identify individuals with a high degree of assurance.Extracting good features is the most significant step in the iris recognition system.In the past, differ…
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EllSeg: An Ellipse Segmentation Framework for Robust Gaze Tracking Open
Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is performed on previously segmented eye parts generated using various computer vision techniques. Several factors, such as occlusions due to eyelid…
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The Human Eye Pupil Detection System Using BAT Optimized Deep Learning Architecture Open
The pupil recognition method is helpful in many real-time systems, including ophthalmology testing devices, wheelchair assistance, and so on. The pupil detection system is a very difficult process in a wide range of datasets due to problem…
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Biometric Recognition Using Deep Learning: A Survey Open
Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks in the last few years. These models seem a natural fit for…
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Detecting Iris Liveness with Batch Normalized Convolutional Neural Network Open
Aim to countermeasure the presentation attack for iris recognition system, an iris liveness detection scheme based on batch normalized convolutional neural network (BNCNN) is proposed to improve the reliability of the iris authentication s…
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Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation Open
Fatigue driving has become one of the most common causes for traffic accidents. In this article, we proposed an effective fatigue detection method based on eye status with pupil and iris segmentation. The segmented feature map can guide th…
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Deep Learning for Iris Recognition: A Survey Open
In this survey, we provide a comprehensive review of more than 200 articles, technical reports, and GitHub repositories published over the last 10 years on the recent developments of deep learning techniques for iris recognition, covering …
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The ND-IRIS-0405 Iris Image Dataset Open
The Computer Vision Research Lab at the University of Notre Dame began collecting iris images in the spring semester of 2004. The initial data collections used an LG 2200 iris imaging system for image acquisition. Image datasets acquired i…
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CAPSULE NETWORK BASED BIOMETRIC RECOGNITION SYSTEM Open
The biometric recognition plays a significant and a unique part in the applications that are based on the personal identification. This is because of the stability, irreplaceability and the uniqueness that is found in the biometric traits …
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Synthesis of Palm Print in Feature Fusion Techniques for Multimodal Biometric Recognition System Online Signature Open
Biometric identification technology is widely utilized in our everyday lives as a result of the rising need for information security and safety laws throughout the world. In this aspect, multimodal biometric recognition (MBR) has gained si…
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Biometric Retina Identification Based on Neural Network Open
In this paper the design of recognition system for retinal images using neural network is considered. Retina based recognition is perceived as the most secure method for identification of an identity used to distinguish individuals. The re…
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Cross-Eyed - Cross-Spectral Iris/Periocular Recognition Database and Competition Open
This work presents a novel dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. This database was used in the 1st Cross-Spectrum Iris/Periocular…
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Biometric Recognition of Infants using Fingerprint, Iris, and Ear Biometrics Open
Biometric recognition is often used for adults for a variety of purposes where an individual's identity must be ascertained. However, the biometric recognition of children is an unsolved challenge. Solving this challenge could protect chil…
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Conditional Generative Adversarial Network- Based Data Augmentation for Enhancement of Iris Recognition Accuracy Open
Presently, lots of previous studies on biometrics employ convolutional neural networks (CNN) which requires a large amount of labeled training data. However, biometric data are considered as important personal information, and it is diffic…
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IrisSeg: A fast and robust iris segmentation framework for non-ideal iris images Open
This paper presents a state-of-the-art iris segmentation framework specifically for non-ideal irises. The framework adopts coarse-to-fine strategy to localize different boundaries. In the approach, pupil is coarsely detected using an itera…
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Iris Recognition Development Techniques: A Comprehensive Review Open
Recently, iris recognition techniques have achieved great performance in identification. Among authentication techniques, iris recognition systems have received attention very much due to their rich iris texture which gives robust standard…
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An Efficient and Robust Iris Segmentation Algorithm Using Deep Learning Open
Iris segmentation is a critical step in the entire iris recognition procedure. Most of the state-of-the-art iris segmentation algorithms are based on edge information. However, a large number of noisy edge points detected by a normal edge-…
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A survey of iris datasets Open
Research on human eye image processing and iris recognition has grown steadily over the last few decades. It is important for researchers interested in this discipline to know the relevant datasets in this area to (i) be able to compare th…
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Brain Password Open
In recent years, biometric techniques (e.g., fingerprint or iris) are increasingly integrated into mobile devices to offer security advantages over traditional practices (e.g., passwords and PINs) due to their ease of use in user authentic…
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Face Recognition as a Biometric Application Open
A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they w…