Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios
المؤلفون المشاركون
Peer, Peter
Štruc, V.
Emeršič, Ž.
Žganec-Gros, J.
Bule, J.
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-03-13
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Cloud computing represents one of the fastest growing areas of technology and offers a new computing model for various applications and services.
This model is particularly interesting for the area of biometric recognition, where scalability, processing power, and storage requirements are becoming a bigger and bigger issue with each new generation of recognition technology.
Next to the availability of computing resources, another important aspect of cloud computing with respect to biometrics is accessibility.
Since biometric cloud services are easily accessible, it is possible to combine different existing implementations and design new multibiometric services that next to almost unlimited resources also offer superior recognition performance and, consequently, ensure improved security to its client applications.
Unfortunately, the literature on the best strategies of how to combine existing implementations of cloud-based biometric experts into a multibiometric service is virtually nonexistent.
In this paper, we try to close this gap and evaluate different strategies for combining existing biometric experts into a multibiometric cloud service.
We analyze the (fusion) strategies from different perspectives such as performance gains, training complexity, or resource consumption and present results and findings important to software developers and other researchers working in the areas of biometrics and cloud computing.
The analysis is conducted based on two biometric cloud services, which are also presented in the paper.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Peer, Peter& Emeršič, Ž.& Bule, J.& Žganec-Gros, J.& Štruc, V.. 2014. Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-482833
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Peer, Peter…[et al.]. Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-482833
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Peer, Peter& Emeršič, Ž.& Bule, J.& Žganec-Gros, J.& Štruc, V.. Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-482833
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-482833
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر