Classification of Gender and Face Based on Gradient Faces

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    4 Citations (Scopus)

    Abstract

    This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates
    Original languageEnglish
    Title of host publicationThe 3rd European Workshop on Visual Information Processing
    EditorsAzeddine Beghdadi, Abdesselam Bouzerdoum, Giuseppe Boccignone, Mohamed-Chaker Larabi
    Place of PublicationParis
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages269-272
    Number of pages4
    Volume1
    ISBN (Print)9781457700729
    DOIs
    Publication statusPublished - 2011
    EventEuropean Workshop on Visual Information Processing - Paris, Paris, France
    Duration: 4 Jul 20116 Jul 2011

    Conference

    ConferenceEuropean Workshop on Visual Information Processing
    CountryFrance
    CityParis
    Period4/07/116/07/11

    Fingerprint

    Support vector machines
    Feature extraction
    Experiments

    Cite this

    Tran, D., Huang, X., & Chetty, G. (2011). Classification of Gender and Face Based on Gradient Faces. In A. Beghdadi, A. Bouzerdoum, G. Boccignone, & M-C. Larabi (Eds.), The 3rd European Workshop on Visual Information Processing (Vol. 1, pp. 269-272). Paris: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EuVIP.2011.6045544
    Tran, Dat ; Huang, Xu ; Chetty, Girija. / Classification of Gender and Face Based on Gradient Faces. The 3rd European Workshop on Visual Information Processing. editor / Azeddine Beghdadi ; Abdesselam Bouzerdoum ; Giuseppe Boccignone ; Mohamed-Chaker Larabi. Vol. 1 Paris : IEEE, Institute of Electrical and Electronics Engineers, 2011. pp. 269-272
    @inproceedings{5482c1e3b3b84e2a811c0e2d67046b18,
    title = "Classification of Gender and Face Based on Gradient Faces",
    abstract = "This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates",
    keywords = "Face Recognition, Local Binary Pattern",
    author = "Dat Tran and Xu Huang and Girija Chetty",
    year = "2011",
    doi = "10.1109/EuVIP.2011.6045544",
    language = "English",
    isbn = "9781457700729",
    volume = "1",
    pages = "269--272",
    editor = "Azeddine Beghdadi and Abdesselam Bouzerdoum and Giuseppe Boccignone and Mohamed-Chaker Larabi",
    booktitle = "The 3rd European Workshop on Visual Information Processing",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States",

    }

    Tran, D, Huang, X & Chetty, G 2011, Classification of Gender and Face Based on Gradient Faces. in A Beghdadi, A Bouzerdoum, G Boccignone & M-C Larabi (eds), The 3rd European Workshop on Visual Information Processing. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Paris, pp. 269-272, European Workshop on Visual Information Processing, Paris, France, 4/07/11. https://doi.org/10.1109/EuVIP.2011.6045544

    Classification of Gender and Face Based on Gradient Faces. / Tran, Dat; Huang, Xu; Chetty, Girija.

    The 3rd European Workshop on Visual Information Processing. ed. / Azeddine Beghdadi; Abdesselam Bouzerdoum; Giuseppe Boccignone; Mohamed-Chaker Larabi. Vol. 1 Paris : IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 269-272.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    TY - GEN

    T1 - Classification of Gender and Face Based on Gradient Faces

    AU - Tran, Dat

    AU - Huang, Xu

    AU - Chetty, Girija

    PY - 2011

    Y1 - 2011

    N2 - This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates

    AB - This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates

    KW - Face Recognition

    KW - Local Binary Pattern

    U2 - 10.1109/EuVIP.2011.6045544

    DO - 10.1109/EuVIP.2011.6045544

    M3 - Conference contribution

    SN - 9781457700729

    VL - 1

    SP - 269

    EP - 272

    BT - The 3rd European Workshop on Visual Information Processing

    A2 - Beghdadi, Azeddine

    A2 - Bouzerdoum, Abdesselam

    A2 - Boccignone, Giuseppe

    A2 - Larabi, Mohamed-Chaker

    PB - IEEE, Institute of Electrical and Electronics Engineers

    CY - Paris

    ER -

    Tran D, Huang X, Chetty G. Classification of Gender and Face Based on Gradient Faces. In Beghdadi A, Bouzerdoum A, Boccignone G, Larabi M-C, editors, The 3rd European Workshop on Visual Information Processing. Vol. 1. Paris: IEEE, Institute of Electrical and Electronics Engineers. 2011. p. 269-272 https://doi.org/10.1109/EuVIP.2011.6045544