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The synergy of biometrics and adaptive technologies for smart world
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Journal of Applied & Computational Mathematics

ISSN: 2168-9679

Open Access

The synergy of biometrics and adaptive technologies for smart world


4th International Conference and Exhibition on Biometrics & Biostatistics

November 16-18, 2015 San Antonio, USA

Ghada Al-Hudhud

King Saud University, KSA

Posters-Accepted Abstracts: J Appl Computat Math

Abstract :

Biometrics is a technology that measures and analyses the biometric chemical, physiological or behavioral attributes of a person. In the last decade, biometrics research continued to introduce state-of-the-art algorithms to prove the concepts, and as industry keeps providing the associated devices, the world will continue to witness a rapid evolution in biometric industry. Biometrics modalities currently investigates identification patterns for fingerprint, iris scanning, reading heat signatures, facial recognition, use of DNA and vein. Using biometric patterns is mainly known in authentication or identification for security purposes. Yet, most current known biometric security systems use a unimodal biometric identification. As today�s devices could easily be equipped with scanners, hence, those sensors will be able to verify our identities using multi biometric modalities in order to meet the high level of security. However, the commonly reported challenge in the biometric applications is the secure storage of the biometric data. Accordingly, multimodal biometric system is required to maintain secure data storage. As the world moves towards smart cities/environments, with the aid of emerging technologies, biometrics future daily applications would serve new purposes of use: human-human, human-devices interaction started to define. Among these are considered telecommunication, control applications, biometric-based tracking system, biometric based searching services, integrated biometric identification and surveillance systems. Economically, biometric indicators show that biometrics technologies would strongly exist in market shares. Biometric scientists forecast technology investors can think of commercialization of biometrics key drivers: services, devices, technologies. Commercialization of biometric drivers falls into one of the following categories: wearable authentication devices, and service provider interface, consumer devices interface and scanners. This, in turn, would identify biometrics future trends and applications. Key industries in the biometrics market over the next decade are likely to be finance, consumer devices, healthcare, and government, followed by enterprise applications, defense, education, law enforcement, and non-government organizations. In addition, biometrics future trends forecast gives thought to income level within a region, modality, device type, revenue.

Biography :

Email: galhudhud@KSU.EDU.SA

Google Scholar citation report
Citations: 1282

Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report

Journal of Applied & Computational Mathematics peer review process verified at publons

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