  Forensic applications like criminal investigations, terrorist identification
and National security issues require a strong fingerprint data base and
efficient identification system. In this paper we propose DWT based Fingerprint
Recognition using Non Minutiae (DWTFR) algorithm. Fingerprint image is
decomposed into multi resolution sub bands of LL, LH, HL and HH by applying 3
level DWT. The Dominant local orientation angle {\theta} and Coherence are
computed on LL band only. The Centre Area Features and Edge Parameters are
determined on each DWT level by considering all four sub bands. The comparison
of test fingerprint with database fingerprint is decided based on the Euclidean
Distance of all the features. It is observed that the values of FAR, FRR and
TSR are improved compared to the existing algorithm.
