Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract – Progress of Information Technology field make zeal of Information Security domain. Authentication acts an imperative role in internet security. In the following study, biometric system was utilized for verification as well as authentication purpose. This study also elucidates on working principle of biometrics on control of prominent flexible properties, scalability and reduction of cost for reducing requirements of biometric systems for numerous computational resources (such as data handling or processing capacity) cloud’s computational techniques and improving biometric system process performance (i.e. biometric matching). In this research, Raspberry Pi is utilized for building an economic biometric system. Raspberry Pi (RPi) is a compact micro-computer with boundless abilities similar to PC. In this study, Rpi was utilized as remote enrollment node. Cloud computing and Raspberry Pi have given a new dimension to research into Internet-of-Things (IoT) applications. By utilizing biometric technology, a novel system of IoT based biometrics was proposed. The encrypted biometric information is stored on the cloud and the authentication is created through Biometric service as host on cloud.
Keywords:
Internet-of-Things (IoT); Raspberry Pi (RPi); cloud; biometrics; Finger print sensor.
Cite Article:
"BIOMETRIC ATTENDANCE MONITORING SYSTEM USING RASPBERRY PI AND FINGER PRINT", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 11, page no.1 - 7, November-2018, Available :http://www.ijrti.org/papers/IJRTI1811001.pdf
Downloads:
000204843
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator