Online Attendance System using Face Recognition
Abstract & Details
Research Area
Computer Engineering
Keywords
Authentication
Efficiency
Attendance
Andriod
Securit y
Verifiability
Abstract
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
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Shubham Inamke | Rajiv Gandhi College Of Engineering |
| 2 | Akshay Dengle | Rajiv Gandhi College Of Engineering |
| 3 | Pratiksha Patil | Rajiv Gandhi College Of Engineering |
| 4 | Kajal Jadhav | Rajiv Gandhi College Of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Inamke, Shubham, Dengle, Akshay, Patil, Pratiksha, & Jadhav, Kajal (2022). Online Attendance System using Face Recognition. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 102-106.
MLA Style
Inamke, Shubham, et al. "Online Attendance System using Face Recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 102-106.
IEEE Style
Shubham Inamke, Akshay Dengle, Pratiksha Patil, and Kajal Jadhav, "Online Attendance System using Face Recognition," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 102-106, 2022.
Vancouver Style
Inamke Shubham, Dengle Akshay, Patil Pratiksha, Jadhav Kajal. Online Attendance System using Face Recognition. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):102-106.
Harvard Style
Inamke, Shubham, Dengle, Akshay, Patil, Pratiksha, & Jadhav, Kajal (2022) 'Online Attendance System using Face Recognition', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 102-106.
Chicago Style
Inamke, Shubham, et al. "Online Attendance System using Face Recognition." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 102-106.
Turabian Style
Inamke, Shubham, et al. "Online Attendance System using Face Recognition." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 102-106.
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