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)
The goal of this project is to create the automated attendance system using face recognition. When a user takes a picture of a human, our application searches related information in a database using image recognition. Since a user of the application can take a picture under different circumstances, the used image recognition algorithm had to be invariant to changes in illumination and view point. The execution of the Algorithm what to run on the mobile phone, so there was need for lightweight image recognition algorithm. A couple of these invariants can be grouped as a feature vector, identifying an image uniquely. By computing the distances between the vectors of an unknown image and known database images, a best match can be selected. Android is flexible and provides many tools for developing applications. This allowed to develop our museum guide application in a limited amount of time. We explored, evaluated and used many of Android’s possibilities
Keywords:
Authentication, Efficiency, Attendance, Andriod, Securit y, Verifiability
Cite Article:
"Online Attendance System using Face Recognition", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 6, page no.91 - 93, June-2021, Available :http://www.ijrti.org/papers/IJRTI2106016.pdf
Downloads:
000204841
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