• V.Jeyalakshmi

The objective of our project is expression invariant gender recognition from face images using digital image processing technique. Gender recognition is important in many application area such as human computer interaction, biometrics surveillance. The recognition process is divided into three main operations consists of face detection, feature extraction and gender classification. In this project using viola jones algorithm the face is detected. The gabor filter is used to extract the edge feature from face images at various orientation and frequencies. The feature extraction of testing and training images are given to the support vector machine. Based on that classifies the given images as male or female.

Gabor filter, support vector machine, edge feature, sobel filter, viola jones algorithm, feature extraction.

"EXPRESSION INVARIANT GENDER RECOGNITION FROM FACE IMAGES USING GABOR FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.176-178, May-2019, Available :http://www.jetir.org/papers/JETIR1905729.pdf

"EXPRESSION INVARIANT GENDER RECOGNITION FROM FACE IMAGES USING GABOR FILTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp176-178, May-2019, Available at : http://www.jetir.org/papers/JETIR1905729.pdf