@article{MAKHILLJEAS2019141818417,
    title = {A Hybrid Emotional Facial Expression Recognition Algorithm using
Enhanced Gabor Filter with AdaBoost Classifier},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {18},
    pages = {6634-6641},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.6634.6641},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.6634.6641},
    author = {Shaik,S. and},
    keywords = {Face expression recognition,Gabor filter,DCT,AdaBoost,emotion recognition,demonstrates},
    abstract = {Facial expression recognition is considered to be the major research area in the context of pattern
recognition and image processing is considered as a vibrant research problem. The study presented in this
study, demonstrates a novel algorithm developed based on the integration of Gabor filter and DCT (Discrete
Cosine Transform) along with AdaBoost classifier to enhance the recognition rate. Experimental results show
that the proposed technique outperforms diverse existing mechanisms in terms of recognition rate while
implemented on various standard facial image databases.}
    }