نتایج جستجو برای: iris segmentation

تعداد نتایج: 77770  

2015
Amit Madhukar Wagh Satish R Todmal Yulin Si Jiangyuan Mei Huijun Gao C. M. Patil Sudarshan Patilkulkarani Zhaofeng He Tieniu Tan Zhenan Sun Xianchao Qiu Lee Laun Ling Daniel Felix de Brito Parvinder Singh Sandhu Mamta Juneja Ekta Walia Ya-Ping Huang Si-Wei Luo En-Yi Chen Bhawna Chouhan

The biometric system is based on human's behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person's life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the eye. Iris recognition technology includes four subsections as, capturing of the ir...

2007
Li Peng Xie

A biometric system is designed to accurately identify people based on human physiological features such as face, iris, fingerprint and voice recognition. Iris recognition is considered to have the highest identification accuracy and commercial iris recognition systems have been deployed in many applications, like passports and border control. One of the key performance limitations in iris recog...

2013
ABDULJALIL RADMAN NASHARUDDIN ZAINAL MAHAMOD ISMAIL

This paper proposes a computationally efficient eyelid detection algorithm for detecting eyelid boundaries in iris images acquired under less constrained imaging conditions. The proposed eyelid detection algorithm is developed based on the live-wire technique. The major advantage of the proposed algorithm is its computational simplicity as compared to the prior eyelid detection algorithms. The ...

Journal: :Image Vision Comput. 2010
Hugo Proença Luís A. Alexandre

Deployed iris recognition systems are mainly based on Daugman’s pioneering approach, and have proven their effectiveness in relatively constrained scenarios: operating in the near infra-red spectrum (NIR, 700-900 nm), at close acquisition distances and with stop-and-stare interfaces. However, the human iris supports contactless data acquisition, and it can — at least theoretically — be imaged c...

2003
Joaquim de Mira Joceli Mayer

This paper presents a new approach based on morphological operators for application of biometric identification of individuals by segmentation and analysis of the iris. Algorithms based on morphological operators are developed to segment the iris region from the eye image and also to highlight chosen iris patterns. The extracted features are used to represent and characterize the iris. In order...

2014
S. Nithyanandam S. Amaresan N. Mohamed Haris

Biometric technology deals with recognizing the uniqueness of individuals based on their exclusive Physical or behavioral characteristics. The developments in science and technology have made it possible to use biometrics in application when it is required to establish (or) confirm the identity of persons. Amongst a range of method, Iris recognition is a hastily intensifying technique of biomet...

2013
João C. Monteiro Hélder P. Oliveira Ana F. Sequeira Jaime S. Cardoso

The rising challenges in the field of iris recognition, concerning the development of accurate recognition algorithms using images acquired under an unconstrained set of conditions, is leading to the a renewed interest in the area. Although several works already report excellent recognition rates, these values are obtained by acquiring images in very controlled environments. The use of such sys...

2010
Andreas Uhl Peter Wild

Iris recognition from surveillance-type imagery is an active research topic in biometrics. However, iris identification in unconstrained conditions raises many proplems related to localization and alignment, and typically leads to degraded recognition rates. While development has mainly focused on more robust preprocessing, this work highlights the possibility to account for distortions at matc...

Journal: :CoRR 2014
Abhimanyu Sarin Jagadish Nayak

Iris Recognition Systems are ocularbased 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 reliable method of identification. The algorithm is responsible for automatic localization and segmentation of boundaries using circular Hough Transform, noise re...

2012
K. Laxmi Narshima Rao

–Iris recognition system has proven its capability in implementing reliable biometric security protocols in various high risk sectors like aviation, border patrol and defence. The banking and financial sector has to adoptthis system because of its robustness and the advantages it provides in cutting costs and making processes more streamlined. The technology started out as a novelty however due...

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