1. Face detection in complex images
The developed algorithm is capable of detecting, with high reliability, faces of varying size from minimum size of 12 pixels width and 15 pixels height to the maximum size of the input image.The face detection capability of the developed system was experimentally examined on two test databases of images of high and low quality. The detection rates 96% and 84% were achieved for these databases, respectively.

2. Publications
Ben-Zion Shaick, L. Yaroslavsky, Object Localization Using Linear Adaptive Filters, 6th Fall Workshop, Vision, Modeling And Visualization 2001 (Vmv01), November 21-23, 2001, Stuttgart, GermanyStuttgart, Germany, November 21-23, 2001, pp
Ben-Zion Shaick and Leonid Yaroslavsky, Image reduction for object recognition, VIP2002 VIPromCom-2002, 4th EURASIP - IEEE Region 8 International Symposium on Video / Image Processing and Multimedia Communication, June 2002, Zadar, Croatia.
B.-Z. Shaick, Reliable Detection of Inexactly Known Objects In Clutter images. Case Study: Face detection