  In Gentile Fusillo et al. (2015) we developed a selection method for white
dwarf candidates which makes use of photometry, colours and proper motions to
calculate a probability of being a white dwarf (Pwd). The application of our
method to the Sloan Digital Sky Survey (SDSS) data release 10 resulted in
nearly 66,000 photometrically selected objects with a derived Pwd,
approximately 21000 of which are high confidence white dwarf candidates. Here
we present an independent test of our selection method based on a sample of
spectroscopically confirmed white dwarfs from the LAMOST (Large Sky Area
Multi-Fiber Spectroscopic Telescope) survey. We do this by cross matching all
our $\sim$66,000 SDSS photometric white dwarf candidates with the over 4
million spectra available in the third data release of LAMOST. This results in
1673 white dwarf candidates with no previous SDSS spectroscopy, but with
available LAMOST spectra. Among these objects we identify 309 genuine white
dwarfs. We find that our Pwd can efficiently discriminate between confirmed
LAMOST white dwarfs and contaminants. Our white dwarf candidate selection
method can be applied to any multi-band photometric survey and in this work we
conclusively confirm its reliability in selecting white dwarfs without recourse
to spectroscopy. We also discuss the spectroscopic completeness of white dwarfs
in LAMOST, as well as deriving effective temperatures, surface gravities and
masses for the hydrogen-rich atmosphere white dwarfs in the newly identified
LAMOST sample.
