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@article{151645,
        author = {Abhishek Gavkare and Ashish Mandlik and Abhishek Mutkule and Ayush Chinchane and Amrin Sheikh},
        title = {Smart Attendance System using HOG and SVM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {443-447},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151645},
        abstract = {As we know, attendance is an essential thing for schools, colleges, etc. However, the current attendance approach is very time-consuming, manual work, and a chance to make some mistakes like a proxy in attendance. This research can solve all the problems of the current attendance system. Our research is aimed at the attendance systems using face recognition which is very useful, less time-consuming, and accurate. The attendance system uses faces as input to be detected and recognized by a student and stored as a face database. The process of identifying face images using Histogram of Oriented Gradients (HOG) data captured by the camera with face images},
        keywords = {face detection, face recognition, Histogram of Oriented Gradients (HOG)},
        month = {},
        }