We outline a method, using simulated annealing algorithm, to optimize the dilation factor of the wavelet function,
from a number of images. The optimized dilation factor has been used to obtain wavelet matched filters (WMFs) for
different fingerprint images. A single WMF instead of a bank of filters can be used for identifying each image. The filter
performance was tested in terms of discrimination ratio, peak-to-correlation plane energy ratio, peak-to-sidelobe ratio
and average similarity measure with digitally degraded fingerprints. The performance has been compared with that of a
classical matched filter and a phase only filter. The filter performance has also been tested for noisy images.