Gender Recognition Based on Sift Features

@article{Yousefi2011GenderRB,
  title={Gender Recognition Based on Sift Features},
  author={Sahar Yousefi and Morteza Zahedi},
  journal={CoRR},
  year={2011},
  volume={abs/1108.1500}
}
This paper proposes a robust approach for face detection and gender classification in color images. Previous researches about gender recognition suppose an expensive computational and time-consuming pre-processing step in order to alignment in which face images are aligned so that facial landmarks like eyes, nose, lips, chin are placed in uniform locations in image. In this paper, a novel technique based on mathematical analysis is represented in three stages that eliminates alignment step… CONTINUE READING
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