Efficient gender classification methodology using DWT and PCA
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...
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| creator | Khan, S. A. Nazir, M. Naveed, N. Riaz, N. |
| description | 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. |
| doi_str_mv | 10.1109/INMIC.2011.6151462 |
| format | Conference Proceeding |
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Our proposed method provides high accuracy and is resilient to brightness changes comparison to those techniques which are in practice.</description><subject>Approximation methods</subject><subject>Artificial neural networks</subject><subject>Biomedical imaging</subject><subject>Discrete wavelet transforms</subject><subject>DWT</subject><subject>FDA</subject><subject>Gender Classification</subject><subject>Image recognition</subject><subject>KNN</subject><subject>Matrix converters</subject><subject>PCA</subject><subject>Support vector machines</subject><subject>SVM</subject><isbn>1457706547</isbn><isbn>9781457706547</isbn><isbn>9781457706578</isbn><isbn>1457706563</isbn><isbn>9781457706561</isbn><isbn>1457706571</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j71OwzAUhY0QElDyArD4BVLs2L62B4YqFIhUfoZIjJWxr4NRmqA4DH17KlHOcvSd4ZMOIdecLTln9rZ5eW7qZcU4XwJXXEJ1QgqrDZdKawZKm1Ny-Q9Sn5Mi5y92CIAVtrogd-sYk084zLTDIeBEfe9yTofRzWkc6A7nzzGM_djt6U9OQ0fv31vqhkDf6tUVOYuuz1gce0Hah3VbP5Wb18emXm3KZNlcVl4zL9DzwJRnUhuphAohKi0sA4dCRcNV4CgAjAAB2n9URgruIoBEJRbk5k-bEHH7PaWdm_bb42HxC2U-R-4</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Khan, S. 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A.</creatorcontrib><creatorcontrib>Nazir, M.</creatorcontrib><creatorcontrib>Naveed, N.</creatorcontrib><creatorcontrib>Riaz, N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khan, S. A.</au><au>Nazir, M.</au><au>Naveed, N.</au><au>Riaz, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Efficient gender classification methodology using DWT and PCA</atitle><btitle>2011 IEEE 14th International Multitopic Conference</btitle><stitle>INMIC</stitle><date>2011-12</date><risdate>2011</risdate><spage>155</spage><epage>158</epage><pages>155-158</pages><isbn>1457706547</isbn><isbn>9781457706547</isbn><eisbn>9781457706578</eisbn><eisbn>1457706563</eisbn><eisbn>9781457706561</eisbn><eisbn>1457706571</eisbn><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. 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| subjects | Approximation methods Artificial neural networks Biomedical imaging Discrete wavelet transforms DWT FDA Gender Classification Image recognition KNN Matrix converters PCA Support vector machines SVM |
| title | Efficient gender classification methodology using DWT and PCA |
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