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
Link To Document :
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