@article{(Open Science Index):https://publications.waset.org/pdf/2910,
	  title     = {Evaluation of Haar Cascade Classifiers Designed for Face Detection},
	  author    = {R. Padilla and  C. F. F. Costa Filho and  M. G. F. Costa},
	  country	= {},
	  institution	= {},
	  abstract     = {In the past years a lot of effort has been made in the
field of face detection. The human face contains important features
that can be used by vision-based automated systems in order to
identify and recognize individuals. Face location, the primary step of
the vision-based automated systems, finds the face area in the input
image. An accurate location of the face is still a challenging task.
Viola-Jones framework has been widely used by researchers in order
to detect the location of faces and objects in a given image. Face
detection classifiers are shared by public communities, such as
OpenCV. An evaluation of these classifiers will help researchers to
choose the best classifier for their particular need. This work focuses
of the evaluation of face detection classifiers minding facial
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {4},
	  year      = {2012},
	  pages     = {466 - 469},
	  ee        = {https://publications.waset.org/pdf/2910},
	  url   	= {https://publications.waset.org/vol/64},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 64, 2012},