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ChikonEye: Open Source Software for Preventing Unauthorized Access to Electronic Devices and Information using Face Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 31 |
| Year of Publication: 2021 |
| Authors: Ashrafur Rahman Minhaj, Masum Bakaul |
10.5120/ijca2021921244
|
Ashrafur Rahman Minhaj, Masum Bakaul . ChikonEye: Open Source Software for Preventing Unauthorized Access to Electronic Devices and Information using Face Recognition. International Journal of Computer Applications. 174, 31 ( Apr 2021), 1-3. DOI=10.5120/ijca2021921244
Abstract
In this emerging era of technology, ensuring data security is a challenge to be provided for systems of different sizes and types. An open source software is presented to allow authorization to a device having sensitive work-related information. In an exemplification of this project, an unlocked device configured to capture images, analyze the images to see who and how many faces are looking at the device and automatically locks the device if detected faces is not recognized as authorized. The software is implemented using open source computer vision (OpenCV) library for image processing operation. The recognizer has been trained with 100 images of each authorized user to generate a dataset on which the system relies to recognize authorized users using openCV python bindings. Voila-Jones algorithm is used to detect faces in images using the built in camera of a system.
References
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