文件列表:

sc_minutia\calc_FNMR_pdf.m (388, 2010-11-15)
sc_minutia\calculate_FNMR.m (573, 2010-11-15)
sc_minutia\calc_imposter_pdf.m (350, 2010-11-15)
sc_minutia\FindTheta.m (2762, 2010-11-15)
sc_minutia\dist2.m (820, 2010-11-15)
sc_minutia\roc.m (3892, 2010-11-15)
sc_minutia\trace_path.m (2881, 2010-11-15)
sc_minutia\calc_EER.m (629, 2011-04-09)
sc_minutia\fft_enhance_cubs.m (10654, 2010-11-15)
sc_minutia\radial_filters64.mat (28675, 2010-11-15)
sc_minutia\tps_iter_match.m (10933, 2011-04-03)
sc_minutia\p.m (712, 2010-11-15)
sc_minutia\Fingerprint Matching using A Hybrid Shape and Orientation Descriptor (addendum).pdf (1735914, 2011-08-07)
sc_minutia\smoothen_orientation_image.m (1058, 2010-11-15)
sc_minutia\orientation_image_rao.m (2320, 2010-11-15)
sc_minutia\bookstein.m (890, 2010-11-15)
sc_minutia\radial_filters.mat (4404, 2010-11-15)
sc_minutia\smoothen_frequency_image.m (2270, 2010-11-15)
sc_minutia\ridgefilter.m (4774, 2010-11-15)
sc_minutia\extract_db.m (1728, 2010-11-15)
sc_minutia\FindOrient.m (899, 2010-11-15)
sc_minutia\im.m (335, 2010-11-15)
sc_minutia\ridgefreq.m (2993, 2010-11-15)
sc_minutia\angular_filters_pi_4.mat (98488, 2010-11-15)
sc_minutia\calc_FMR_pdf.m (496, 2010-11-15)
sc_minutia\angular_filters_pi_2.mat (98488, 2010-11-15)
sc_minutia\plotridgeorient.m (1823, 2010-11-15)
sc_minutia\calc_orient.m (916, 2010-11-15)
sc_minutia\test_bifurcation.m (5940, 2010-11-15)
sc_minutia\freqest.m (3640, 2010-11-15)
sc_minutia\sc_compute.m (2293, 2010-11-15)
sc_minutia\radial_filters16.mat (1348, 2010-11-15)
sc_minutia\pseudo_matched_filter.m (829, 2010-11-15)
sc_minutia\register.m (8915, 2010-11-15)
sc_minutia\normalise.m (2313, 2010-11-15)
sc_minutia\tps_iter_match_no_anchors.m (9838, 2010-11-15)
sc_minutia\testfin.m (1909, 2010-11-15)
sc_minutia\calc_genuine_pdf.m (382, 2010-11-15)
sc_minutia\compute_coherence.m (1072, 2010-11-15)
... ...

Author: Joshua Abraham Requirements: 1) Matlab + Image Processing toolkit. 2) FVC2002 database (can download from fvc2002 competition site: http://bias.csr.unibo.it/fvc2002/). How to Run: Firstly, extract the zip file and add the resulting folder (sc_minutia) to your matlab folder path. Secondly, the templates for each fingerprint have to be created. The path of the directory must be set to the correct location in 'main.m' and 'extract_db.m'. The templates can now be created with the following commands: START=1; FINISH=800; extract_db START and FINISH variables are used to define which fingerprints of the 800 in the FVC2002 DB1_A database get their features extracted into template files. These template files are required for matching to occur (next step). NOTE: this is a long process (up to 5 hours on a notebook). Once this is done, matching can be performed with: BASE_IMG=''; main This again is a long process. Genuine results are stored in an array called RES_G, whereas imposters are stored in array called RES_B. You can stop this process anytime (Ctrl-C) to plot the ROC curve. The ROC curve can then be plotted with roc(RES_B, RES_G) You can then continue the process simply with main Please contact me for any more information at algorithm007@hotmail.com.

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