• Neha Arora
• Neeraj Jain

Over the time apportioning, modernized course of action of gender has extended titanic centrality and has changed into a working zone of research. Different analysts have put a great deal of exertion and have made quality research around there. In any case, there is a massive potential in this field on account of its utility in different territories like checking, recognition, business profiling and human-PC facilitated exertion. Security applications have most exceptional importance here. Gender portrayal can be utilized as a significant piece of a face assertion process. This work watches out for the issue of gender portrayal using the methodology for using the Viola-Jones calculation for face affirmation and request of human faces using the Collaborative depiction classifier and Extended Yale Face Database B dataset and Support Vector Machine Approach. The usage of the proposed calculation has a most outrageous accomplishment pace of 94-95% by virtue of the ID of the female appearances and 80-85% if there ought to emerge an event of Male. The gender and age confirmation and request structure is also done using the assistance vector calculation. This calculation has a machine-learning structure by which it gets ready on a database and using this readied condition to foresee the aftereffect of various pictures. The portrayal is constrained to two classes - male and female

Gender Classification ,Face Detection,SVM

"Performance Analysis of Gender and Face Recognition Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.517-524, June 2019, Available :http://www.jetir.org/papers/JETIR1907C35.pdf

"Performance Analysis of Gender and Face Recognition Technique ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp517-524, June 2019, Available at : http://www.jetir.org/papers/JETIR1907C35.pdf