Ridge orientations and ridge spatial frequencies in various regions of fingerprints represent its intrinsic characteristics.In this paper

we proposed a new fast algorithm for fingerprint identification based on Haar-wavelet

which accurately extracted the fingerprint features based on the original gray scale image.The proposed algorithm requires less computational effort than conventional algorithms which are based upon minutia features extraction.The algorithm can achieve high recognition rates when tested in the standard FVC2000 fingerprint database

and complete a whole process of identification in about one second on an embedded platform based on Arm-7(Primary Frequency: 100MHz) CPU.