  Minutia Cylinder Codes (MCC) are minutiae based fingerprint descriptors that
take into account minutiae information in a fingerprint image for fingerprint
matching. In this paper, we present a modification to the underlying
information of the MCC descriptor and show that using different features, the
accuracy of matching is highly affected by such changes. MCC originally being a
minutia only descriptor is transformed into a texture descriptor. The
transformation is from minutiae angular information to orientation, frequency
and energy information using Short Time Fourier Transform (STFT) analysis. The
minutia cylinder codes are converted to minutiae texture cylinder codes (MTCC).
Based on a fixed set of parameters, the proposed changes to MCC show improved
performance on FVC 2002 and 2004 data sets and surpass the traditional MCC
performance.
