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
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