• DocumentCode
    3319048
  • Title

    Efficient gender classification methodology using DWT and PCA

  • Author

    Khan, Sajid Ali ; Nazir, Muhammad ; Naveed, Nawazish ; Riaz, Naveed

  • Author_Institution
    Shaheed Zulfikar Ali Bhutto Inst. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2011
  • fDate
    22-24 Dec. 2011
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    Recognition of gender from face images has accomplished great popularity and also enlightened some new research problems. In this paper, we presented a new technique for gender classification using DWT and PCA. The technique has shown performance better than existing gender classification techniques. Experiments were carried out on standard face database used in various existing works of literature. Our proposed method provides high accuracy and is resilient to brightness changes comparison to those techniques which are in practice.
  • Keywords
    discrete wavelet transforms; face recognition; image classification; principal component analysis; visual databases; DWT; PCA; brightness changes comparison; discrete wavelet transform; face images; gender classification methodology; gender recognition; principal component analysis; standard face database; Approximation methods; Artificial neural networks; Biomedical imaging; Discrete wavelet transforms; Image recognition; Matrix converters; Support vector machines; DWT; FDA; Gender Classification; KNN; PCA; SVM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference (INMIC), 2011 IEEE 14th International
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4577-0654-7
  • Type

    conf

  • DOI
    10.1109/INMIC.2011.6151462
  • Filename
    6151462