<p>Iris biometric modality possesses inherent characteristics which make the iris recognition system highly reliable and noninvasive. Nowadays, research in this area is challenging compact template size fast verification algorithms. Special efforts have been employed to minimize of extracted features without degrading performance system. In response, we propose an improved feature fusion ...

Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric identification systems is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-c...

Biometric systems play an important role in authenticating the identity of an individual. Such authenticated systems are still prone to attacks and securing them is an important issue. To overcome this, biometric based authentication is blended with cryptography resulting in a framework called fuzzy vault which provides a high level of security. Fuzzy vault is a biometric cryptosystem used for ...

Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric system is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature selection and a post-classification fu...

Current approaches for risk analysis of biometric authentication technology are limited to enrollment and identification/verification processes with biometric algorithms mainly considered as black-boxes, only. This paper presents a systematic approach for a holistic security risk analysis of biometric authentication technology based on the high-level component & process model for integrated sec...

This paper, presents a risk analysis knowledgebase, which aims to enhance existing risk analysis methodologies and tools, by adding the capability of analyzing the risk of the biometric component of an information system. The knowledgebase was created by applying the Multi-Criteria Analysis methodology to the results of research in the security aspect of biometric technologies. The result is a ...

Palmprint recognition has been investigated over 10 years,After palmprint , fingerprints or iris digital, biometric identification of an individual can be done through the veins of the hand. This paper provides an overview of current biometric systems technology based on hand vein. We first review the component modules including the algorithms they employ. Finally, a summary of the accuracy res...

This study investigates the use of ear as a biometric for authentication and shows experimental results obtained on a newly created dataset of 420 images. Images are passed to a quality module in order to reduce False Rejection Rate. The Principal Component Analysis (“eigen ear”) approach was used, obtaining 90.7 % recognition rate. Improvement in recognition results is obtained when ear biomet...

Multimodal systems integrate multiple sources of human information to ensure high level security. Multimodal biometric systems increase the recognition rate of the biometric systems either by reducing the false acceptance rate (FAR) or false rejection rate (FRR). Multiple biometric traits can be combined at feature level. Feature level fusion increases the reliability of the system by preventin...

Статья посвящена исследованию внедрения биометрической идентификации как компонента цифровой финансовой инфраструктуры. Финансовый сектор является одним из сегментов экономики, где цифровая инфраструктура обеспечит наилучший результат в динамике развития. Основной целью статьи является: анализ системы и аутентификации; определение выводов о достигнутых результатах; выявление проблемы ее формиро...