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Biometric Identification on Android Smartphones
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 35, 832-841 p.Article in journal (Refereed) Published
Abstract [en]

Smart devices are gaining popularity and are becoming key platform for accessing business and personal information. Access to this sensitive information also requires proper authentication and identification. This paper describes a solution proposed for farmers' biometric identification in African Cashew Initiative. African cashew initiative is a project which focuses on organizing and supporting cashew producers in five African project countries. The paper presents an implementation of biometric identification in large datasets and provides results regarding the performance and accuracy of the proposed system. This work is a first approach towards offline biometric identification on smartphones providing preliminary results for deployment on large scale.

Place, publisher, year, edition, pages
2014. Vol. 35, 832-841 p.
Keyword [en]
Biometric Identification, Face Recognition, Android smartphones, LBP, OpenCV
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-111707DOI: 10.1016/j.procs.2014.08.250ISI: 000345394100086OAI: oai:DiVA.org:su-111707DiVA: diva2:776512
Conference
18th Annual International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, (KES) Gdynia, Poland, September 15-17, 2014
Note

AuthorCount:4;

Available from: 2015-01-07 Created: 2015-01-07 Last updated: 2017-09-12Bibliographically approved

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