Year: 2025
Type: article
Abstract: : Face Recognition is an important computer vision technology that enables automatic identification ofindividuals based on facial attributes. It suffers from problems like variations and facial movements. This project utilizes OpenCV-based techniques for real-time detection and recognition of faces from real video streams. The system combines Haar Cascade for face recognition and Local Binary Histogram (LBPH) for identification to offer absolute identification. The system also automates the retrieval of student academic records by correlating identified faces to the database, offering efficiency and security in student identification. Combining face recognition with web automation simplifies the process of result retrieval, minimizing human error and processing time. This project solves shared weaknesses of conventional biometric authentication systems in a contactless, scalable, and secure manner. The system is well-suited to school applications in attendance monitoring and student record keeping,but is generally applicable to other uses ofauthentication.
Author: T Venkata Subbamma
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409599341