Face Recognition for Officers of Law |
Author(s): |
| Rutu Vaidya , Sandip University (Nashik, Maharashtra); Ishwari Bhutada, Sandip University; Vaishnavi Bairagi, Sandip University; Pranav Sharma, Sandip University |
Keywords: |
| Face Recognition, Officers of Law, OpenCV |
Abstract |
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Face detection is an integral part of everyday life, but accuracy and reliability can be challenging. A video frame-based face identification system is created to differentiate between normal and abnormal faces in order to meet the requirement for greater accuracy and speed. Previous recognition methods frequently miss abnormal faces, like those that are partially hidden by masks or sunglasses, suggesting possible security problems. The suggested system uses the libfacedetection package for face detection and the dlib library for face alignment and feature extraction to achieve real-time performance. The paper emphasizes the significance of face recognition in identifying people by presenting a highly accurate face recognition model utilizing OpenCV and dlib tools. The report also addresses the issue of storage, proposing that facial parts rather than entire faces be stored to alleviate this issue. |
Other Details |
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Paper ID: IJSRDV11I30277 Published in: Volume : 11, Issue : 3 Publication Date: 01/06/2023 Page(s): 352-358 |
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