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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 75

Article Submitted : 4262

Article Published : 2397

Total Authors : 6316

Total Reviewer : 532

Total Countries : 44

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Authors Name: Huzefa Sadikot , Omkar Kavitkar , Krishna Bajaj
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Published Paper Id: IJRTI1811001
Published In: Volume 3 Issue 11, November-2018
Abstract: 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 (, ISSN:2455-2631, Vol.3, Issue 11, page no.1 - 7, November-2018, Available :
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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
Publication Details: Published Paper ID: IJRTI1811001
Registration ID:180535
Published In: Volume 3 Issue 11, November-2018
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Page No: 1 - 7
Country: Mumbai-400001, Maharashtra, India
Research Area: Engineering
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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