  We present a new algorithm to search for distant clusters of galaxies on
catalogues deriving from imaging data, as those of the ESO Imaging Survey. Our
algorithm is a matched filter one, similar to that adopted by Postman et al.
(1996), aiming at identifying cluster candidates by using positional and
photometric data simultaneously. The main novelty of our approach is that
spatial and luminosity filter are run separately on the catalogue and no
assumption is made on the typical size nor on the typical M* for clusters, as
these parameters intervene in our algorithm as typical angular scale (sigma)
and typical apparent magnitude m*. Moreover we estimate the background locally
for each candidate, allowing us to overcome the hazards of inhomogeneous
datasets. As a consequence our algorithm has a lower contamination rate -
without loss of completeness - in comparison to other techniques, as tested
through extensive simulations. We provide catalogues of galaxy cluster
candidates as the result of applying our algorithm to the I-band data of the
EIS-wide patches A and B.
