Gender classification system for half face images using multi manifold discriminant analysis

Abstract

Recognizing the gender from the half face image is a challenging problem in the field of computer vision. This paper investigates the issue and proposes a gender classification system that works for full-face images to half face images. In this manuscript, a Discrete Wavelet Transform (DWT) followed by MMDA is used for feature extraction. The proposed… (More)

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@article{Kaur2017GenderCS, title={Gender classification system for half face images using multi manifold discriminant analysis}, author={Kanwal Deep Kaur and Preeti Rai and Pritee Khanna}, journal={2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence}, year={2017}, pages={595-598} }