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@article{144169,
        author = {N. Siddartha and K.Mahesh},
        title = {A learning to rank approach for face image quality assessment},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {190-194},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144169},
        abstract = {Automatic face recognition technology has attracted a great amount of attention from both academia and industry in the recent trends. It is usually possible for practical recognition systems to capture multiple face images from each subject. Selecting face images with high quality for recognition is a promising stratagem for improving the system performance. We propose a simple and flexible framework for face image quality assessment, in which multiple feature fusion and learning to rank are used. The proposed method is simple and can adapt to different recognition methods. To demonstrate the overall effectiveness of the proposed method, we use heuristic criteria for data selection in our experiments.

},
        keywords = {Face quality, Automatic face recognition, learning to rank},
        month = {},
        }