Search
21 articles for “iris recognition”
-
Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article
-
Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
-
Synthetic Iris as a Vulnerability of Iris Recognition System
Abstract: AbstractVulnerability usually refers to a security flaw due to a program failure, manual interruption or the like and means a state in which the system security can be compromised against illegal access from the outside world. Iris Recognition systems have been used as a means of authentication for quite some time now. Recently, it has been found that iris recognition systems can be tricked. The tried ways of befooling iris …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 15–21 Read article
-
Iris and Retina Recognition based Multimodal Person Identification System
Abstract: Nowadays we are living in such an era of science where authentication has become one of the greatest challenges in the thorny issue of security. There are many ways in which authentication can be provided, but among them biometric authentication is indispensable. Among all the biometrics in use today the highest level of uniqueness, performance, universality and circumvention are provided by eye based biometrics (i.e., iris and retina recognition). This …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 22–28 Read article
-
Multi-Modal Iris and Retina Recognition System using Discrete Hidden Markov Model based Score Fusion Technique
Abstract: The contribution of this work is to propose a model of multi-modal iris and retina recognition system where Hidden Markov Model based score fusion technique has been used for decision fusion approach. Two different uni-modal techniques such as iris recognition and retina recognition outputs are combined by using baseline reliability ratio based score fusion technique. CASIA iris dataset and DRIVE retinal dataset have been used to acquire the iris and …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 7–12 Read article
-
An Improved Biometric Authentication with Scleral Patterns
Abstract: Biometrics is the science of recognizing people based on their physical or behavioral traits such as face, fingerprints, iris, and voice. Iris is unique part of the eye that is varied from person to person. Iris is white part of the eye and it covering the sclera. The accuracy of the iris recognition system depends on the image quality of the iris images and also iris recognition requires frontal gaze …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 1, 2016 · pp. 28–35 Read article
-
Feature Fusion Based Iris and Retina Recognition System Using Kohonon Self-Organizing Mapping Neural Network Algorithm
Abstract: This paper proposes a model of biometric security with feature fusion based iris and retina recognition system. Though, a lot of research works have done for iris recognition system and it is not new for the fusion of multimodal iris recognition in the area of biometric security and authentication system. But, it is a relatively new idea of mixing iris and retina features for human authentication. Here, the features of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 22–26 Read article
-
An Approach of Multi-modal Biometric Iris and Speech based Person Recognition System with Decision Fusion Technique
Abstract: This paper presents a unique approach of multi-modal iris and speech feature based person recognition system. Iris images and speech signals are taken from CASIA iris database and NOIZEUS speech database respectively. Iris features are extracted after applying iris images noise removing and image pre-processing techniques. On the other hand, speech signal noise removing, start-end points detection algorithm, silence parts removal, windowing and feature extraction techniques are applied to extract …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 5–10 Read article
-
A Review: Fusion of Face and Iris by using Support Vector Machine
Abstract: AbstractA new approach for personal identification based on the fusion of iris & face recognition is presented in this paper. Biometric innovations are the establishment of the personal identification system. A biometric system recognizes a person based on a few characteristics or forms. This is in many instances watched in the region of security, privacy, and forensics. Even for the great of unimodal biometric systems, it is frequently no longer …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 1–10 Read article
-
Biometric Access and Security Integration
Abstract: Biometric access and security integration involves the use of biometric technology, such as fingerprint recognition, facial recognition, iris recognition, or voice recognition, to authenticate and grant access to secure areas, devices, or systems. Integration of biometric technology into security systems enhances the accuracy and reliability of access control compared to traditional methods like passwords or access cards, as biometric traits are unique to individuals and difficult to forge. This paper …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 3, 2023 · pp. 30–43 Read article
-
Biometric Revolution in Automotive Security: Advancing Vehicle Protection Through Bio-Authentication Systems
Abstract: Concerns about security are rising as a result of the quick development of automobile technology and the rise in car theft and illegal entry. Both contemporary smart key solutions and older key-based systems have flaws that call for stronger security measures. By utilizing distinct physiological and behavioral characteristics, biometric authentication offers a novel way to improve vehicle security. Vehicles can provide tailored and extremely secure access control systems by combining …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 12–19 Read article
-
Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
-
Providing Biometric Protection for Iris using Watermark and Visual Cryptography
Abstract: This paper presents a novel security architecture which protects the iris using watermarking and visual cryptography techniques. The iris region is protected using watermarking technique where we are using DCT to embed the watermarked text image into the iris image in the low frequency band. After performing watermarking, the watermarked image is further processed to generate a template using Daugmans method and Gabor filter. The generated template is then gone …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 1–3 Read article
-
Smart Attendance System Using Face Recognition with OpenCV
Abstract: In the past, the conventional method of recording student attendance relied heavily on teachers manually marking entries in a physical register. While simple, this approach is not only time-consuming but also highly vulnerable to errors such as accidental omissions, incorrect entries, or even malpractice in the form of proxy attendance. Moreover, traditional registers lack real-time accessibility, making it difficult to analyze or monitor data instantly. To address these limitations, modern …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 30–39 Read article
-
Detection of Criminal Traces during Forced Iris Authentication
Abstract: AbstractAlthough iris recognition system is considered as most robust, hard to counterfeit and the most secure system of biometric authentication. However the existing system fails to detect a forced authentication which might be misused by criminals to unlock the user's account. In this paper we examine the conditions in which a real user is forcibly presented in front of iris scanner on gun point to unlock the account. In this …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 10–18 Read article
-
Iris-Based Railway Systems: Advancements in Ticketing and Passenger Verification
Abstract: As railway transportation continues to expand and modernize, ensuring the safety and security of passengers, staff, and infrastructure has become a major priority. Traditional security methods, including manual identity verification, paper-based ticketing, and conventional access control systems, are often limited in their ability to prevent unauthorized access, identity fraud, and operational delays. To address these challenges, this paper explores the integration of biometric authentication technologies into railway systems as a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
-
Detection System in Human Face using Biometrics
Abstract: A person is identified with face. Face recognition is one of biometric methods, to identify given face image using main features of face. Biometrics is a growing technology, which has been widely used in forensics, secured access and prison authentication. A biometric system is fundamentally a pattern recognition system that recognizes a person by determining the secured by using his different biological features i.e. fingerprint, retina-scan, iris scan, hand geometry, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 9–16 Read article
-
Facial Recognition Based Attendance System
Abstract: In today’s fast paced world, for an organization with around 500 employees, a manual attendance system is highly inefficient and time consuming. Traditional methods of automatic attendance systems like fingerprint, RFID or iris scans are easy to bypass, as the biometric features, such systems take into consideration are far less than facial features. Our facial recognition system is used to detect a person’s face and then compare it with the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 43–49 Read article
-
AI Role in Sign Language Interpretation
Abstract: People who are mute or deaf encounter communication challenges when interacting with others. It can be difficult for individuals with similar conditions to effectively convey their thoughts, especially when not everyone understands sign language. This article aims to create a Data Acquisition and Control (DAC) system capable of translating sign language into written text that can be comprehended by a wider audience. This system is referred to as the “Sign …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 48–54 Read article
-
An Analysis on Gender Classification using Face Images Using DWT, (2D)2PCA and SVM
Abstract: AbstractClassifying gender compared to others and is used in this work. Biometry is the use of physical characteristics like face, fingerprints, iris, etc. of an individual for personal identification. Some of the difficult issues of face biometrics are face detection, face recognition, and face identification. These problems are being researched by the computer vision community for the last few decades. Considering the big population, the authentication process of an individual …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 30–40 Read article