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@article{159509,
        author = {Munaf S and Santhosh Sabari S and Shankaran K P and Tamilvelan M P},
        title = {Age and Gender Detection using Image processing },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {117-121},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159509},
        abstract = {Age and gender are two of the most important facial characteristics, and since they are so fundamental to social interactions, estimating them from a single face image is a critical task in intelligent applications. Since the emergence of social platforms and social media, automatic age and gender classification has been essential to a growing number of applications. Even Nevertheless, compared to the enormous performance improvements recently reported for the closely related task of facial recognition, the performance of present approaches on real-world photographs still falls far short. Compared to the prior method, age and gender classification using convolutional neural networks is more accurate.},
        keywords = {},
        month = {},
        }