Identification Of Gender And Face Recognition Using Adaboost And SVM Classifier

  title={Identification Of Gender And Face Recognition Using Adaboost And SVM Classifier},
  author={M. Sasikala and Miss. N. Nirosha and Mr. E. Gurumoorthi and Mrs. J. VijayaBarathi},
When the discussion starts about a computer based automatic facial feature extraction system which can identify face, gesture etc and estimate gender, age, expirations etc. The system asks for a dependable, fast, reliable classification process. This paper presents an approach to extract effective features for face detection and gender classification system. The proposed algorithm converts the RGB image into the YCbCr color space to detect the skin regions in the color image. Finally Gaussian… CONTINUE READING


Publications citing this paper.

A Fusion-based Gender Recognition Method Using Facial Images

Electrical Engineering (ICEE), Iranian Conference on • 2018
View 4 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-10 of 18 references

3-D Face Recognition Under Occlusion Using Masked Projection

IEEE Transactions on Information Forensics and Security • 2013
View 2 Excerpts

2D-DCT Distance Based Face Recognition Using a Reduced Number of Coefficients

2009 XXII Brazilian Symposium on Computer Graphics and Image Processing • 2009
View 1 Excerpt

Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) • 2008
View 1 Excerpt

An analysis of automatic gender classification

M. Castrillon-Santana, Q. C. Vuong
Proceedings of Conference on Progress in Pattern Recognition, Image Analysis and Applications, pp. 271–280, 2007. • 2007
View 1 Excerpt

Boosting Gender Identification Performance

S. Baluja, H. A. Rowley
Int’l J. Computer Vision, vol. 71, no. 1, pp. 111-119, 2007. • 2007
View 1 Excerpt

Similar Papers

Loading similar papers…