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Iris recognition technology, used to identify individuals by photographing the iris of their eye, has become popular in security applications because of its ease of use, accuracy, and safety in controlling access to high-security areas.…

Artificial Intelligence · Computer Science 2010-07-05 Ujwalla Gawande , Mukesh Zaveri , Avichal Kapur

This paper discusses some topics related to the latest trends in the field of evolutionary approaches to iris recognition. It presents the results of an exploratory experimental simulation whose goal was to analyze the possibility of…

Computer Vision and Pattern Recognition · Computer Science 2011-06-21 Nicolaie Popescu-Bodorin , Valentina E. Balas

Personal identification and authentication is very crucial in the current scenario. Biometrics plays an important role in this area. Biometric based authentication has proved superior compared to traditional password based authentication.…

Cryptography and Security · Computer Science 2011-02-19 V. S. Meenakshi , G. Padmavathi

This paper proves that in iris recognition, the concepts of sheep, goats, lambs and wolves - as proposed by Doddington and Yager in the so-called Biometric Menagerie, are at most fuzzy and at least not quite well defined. They depend not…

Computer Vision and Pattern Recognition · Computer Science 2012-09-28 Nicolaie Popescu-Bodorin , Valentina E. Balas , Iulia M. Motoc

Iris Recognition Systems are ocular- based biometric devices used primarily for security reasons. The complexity and the randomness of the Iris, amongst various other factors, ensure that this biometric system is inarguably an exact and…

Computer Vision and Pattern Recognition · Computer Science 2014-10-28 Abhimanyu Sarin , Dr. Jagadish Nayak

Iris recognition is a secure biometric technology known for its stability and privacy. With no two irises being identical and little change throughout a person's lifetime, iris recognition is considered more reliable and less susceptible to…

Computer Vision and Pattern Recognition · Computer Science 2023-03-16 Yimin Yin , Siliang He , Renye Zhang , Hongli Chang , Xu Han , Jinghua Zhang

The main topic discussed in this paper is how to use intelligence for biometric decision defuzzification. A neural training model is proposed and tested here as a possible solution for dealing with natural fuzzification that appears between…

Neural and Evolutionary Computing · Computer Science 2011-11-10 N. Popescu-Bodorin , V. E. Balas , I. M. Motoc

A new approach in iris recognition based on Circular Fuzzy Iris Segmentation (CFIS) and Gabor Analytic Iris Texture Binary Encoder (GAITBE) is proposed and tested here. CFIS procedure is designed to guarantee that similar iris segments will…

Computer Vision and Pattern Recognition · Computer Science 2011-07-15 Nicolaie Popescu-Bodorin

The standard methods of identification such as PIN Numbers (Personal Identification Number), Passwords, smart cards can be easily stolen and can be misused easily. To overcome this, biometric is introduced, as it will be unique to each…

Cryptography and Security · Computer Science 2024-06-26 R. Sridevi , P. Shobana

The iris is considered as the biometric trait with the highest unique probability. The iris location is an important task for biometrics systems, affecting directly the results obtained in specific applications such as iris recognition,…

Computer Vision and Pattern Recognition · Computer Science 2018-10-17 Evair Severo , Rayson Laroca , Cides S. Bezerra , Luiz A. Zanlorensi , Daniel Weingaertner , Gladston Moreira , David Menotti

Databases play an important role in cyber world. It provides authenticity across the globe to the legitimate user. Biometrics is another important tool which recognizes humans using their physical statistics. Biometrics system requires…

Computer Science and Game Theory · Computer Science 2012-07-13 Adnan Alam Khan , Safeeullah Soomro , Irfan Hyder

The Iris pattern is a unique biological feature for each individual, making it a valuable and powerful tool for human identification. In this paper, an efficient framework for iris recognition is proposed in four steps. (1) Iris…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Abolfazl Zargari Khuzani , Najmeh Mashhadi , Morteza Heidari , Donya Khaledyan

Iris recognition technology plays a critical role in biometric identification systems, but their performance can be affected by variations in iris pigmentation. In this work, we investigate the impact of iris pigmentation on the efficacy of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-14 Geetanjali Sharma , Abhishek Tandon , Gaurav Jaswal , Aditya Nigam , Raghavendra Ramachandra

Iris recognition is considered as one of the best biometric methods used for human identification and verification, this is because of its unique features that differ from one person to another, and its importance in the security field.…

Computer Vision and Pattern Recognition · Computer Science 2011-11-08 M. Y. Shams , M. Z. Rashad , O. Nomir , R. M. El-Awady

This paper analyses the set of iris codes stored or used in an iris recognition system as an f-granular space. The f-granulation is given by identifying in the iris code space the extensions of the fuzzy concepts wolves, goats, lambs and…

Computer Vision and Pattern Recognition · Computer Science 2012-09-28 Iulia M. Motoc , Cristina M. Noaica , Robert Badea , Claudiu G. Ghica

The assessment of iris uniqueness plays a crucial role in analyzing the capabilities and limitations of iris recognition systems. Among the various methodologies proposed, Daugman's approach to iris uniqueness stands out as one of the most…

Computer Vision and Pattern Recognition · Computer Science 2023-06-23 Katelyn M. Hampel , Jinyu Zuo , Priyanka Das , Natalia A. Schmid , Stephanie Schuckers , Joseph Skufca , Matthew C. Valenti

Liveliness detection acts as a safe guard against spoofing attacks. Most of the researchers used vision based techniques to detect liveliness of the user, but they are highly sensitive to illumination effects. Therefore it is very hard to…

Computer Vision and Pattern Recognition · Computer Science 2016-09-20 Avinash Kumar Singh , Piyush Joshi , G C Nandi

The fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication. To improve accuracy and privacy protection, biometric information of multiple characteristics can be fused at…

Cryptography and Security · Computer Science 2023-01-18 Christian Rathgeb , Benjamin Tams , Johannes Merkle , Vanessa Nesterowicz , Ulrike Korte , Matthias Neu

Iris recognition is a reliable personal identification method but there is still much room to improve its accuracy especially in less-constrained situations. For example, free movement of head pose may cause large rotation difference…

Computer Vision and Pattern Recognition · Computer Science 2019-12-03 Min Ren , Caiyong Wang , Yunlong Wang , Zhenan Sun , Tieniu Tan

The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed…

Computer Vision and Pattern Recognition · Computer Science 2010-07-15 S. V. Sheela , K. R. Radhika
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