  We present a semi-automated method to search for strong galaxy-galaxy lenses
in optical imaging surveys. Our search technique constrains the shape of
strongly lensed galaxies (or arcs) in a multi-parameter space, which includes
the third order (octopole) moments of objects. This method is applied to the
Deep Lens Survey (DLS), a deep ground based weak lensing survey imaging to
$R\sim26$. The parameter space of arcs in the DLS is simulated using real
galaxies extracted from deep HST fields in order to more accurately reproduce
the properties of arcs. Arcs are detected in the DLS using a pixel thresholding
method and candidate arcs are selected within this multi-parameter space.
Examples of strong galaxy-galaxy lens candidates discovered in the DLS F2 field
(4 square degrees) are presented.
