  Voids are the most prominent feature of the LSS of the universe. Still, they
have been generally ignored in quantitative analysis of it, essentially due to
the lack of an objective tool to identify and quantify the voids. To overcome
this, we present the Void-Finder algorithm, a novel tool for objectively
quantifying galaxy voids. The algorithm classifies galaxies as either wall- or
field-galaxies. Then it identifies voids in the wall-galaxy distribution. Voids
are defined as continuous volumes that do not contain any wall-galaxies. The
voids must be thicker than an adjustable limit, which is refined in successive
iterations. We test the algorithm using Voronoi tessellations. By appropriate
scaling of the parameters we apply it to the SSRS2 survey and to the IRAS 1.2
Jy. Both surveys show similar properties: ~50% of the volume is filled by the
voids, which have a scale of at least 40 Mpc, and a -0.9 under-density. Faint
galaxies populate the voids more than bright ones. These results suggest that
both optically and IRAS selected galaxies delineate the same LSS. Comparison
with the recovered mass distribution further suggests that the observed voids
in the galaxy distribution correspond well to under-dense regions in the mass
distribution. This confirms the gravitational origin of the voids.
