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@article{178662,
        author = {Aryan Trivedi and Ayush Girathe and Mukund Kulkarni and Prathamesh Anvekar and Aditya Awate and Derick Denny},
        title = {Image Personalizer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5452-5456},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178662},
        abstract = {This paper introduces an advanced face recognition system that integrates video-based image capture with categorization based on a predefined dataset. The system continuously captures live video, detects faces in real-time, and classifies them into specific categories using a dataset of labelled images. By leveraging the Local Binary Pattern Histogram (LBPH) technique, the model is trained to recognize distinct facial features of known individuals, enabling efficient face identification and categorization. Haar Cascade Classifiers are employed for precise face detection. Once the system is trained, it accurately identifies and organizes newly captured faces into designated folders. This approach offers significant potential for applications in security surveillance, attendance tracking, and personalized user experiences.},
        keywords = {Attendance Tracking, Categorization, Face Recognition, Haar Cascade, LBPH, Real-time Detection, Security, Video Capture.},
        month = {May},
        }