Fingerprint identification program based on MATLAB
关注次数： 323
下载次数： 2
文件大小： 5168KB
中文说明：
基于Matlab的指纹识别程序，对指纹图像进行gabbor滤波、二值化、腐蚀等适当处理后 通过SVM等算法 可以识别出新指纹图像是否在原有数据库中。可以用于演示小型的指纹识别系统 。
English Description：
Based on the fingerprint identification program of MATLAB, the new fingerprint image can be identified in the original database by SVM algorithm after the appropriate processing of Gabor filtering, binarization, corrosion and so on. It can be used to demonstrate a small fingerprint identification system
PR_fingerprint
..............\database_and_code
..............\.................\101_1.tif
..............\.................\101_2.tif
..............\.................\101_3.tif
..............\.................\101_4.tif
..............\.................\101_5.tif
..............\.................\101_6.tif
..............\.................\101_7.tif
..............\.................\101_8.tif
..............\.................\102_1.tif
..............\.................\102_2.tif
..............\.................\102_3.tif
..............\.................\102_4.tif
..............\.................\102_5.tif
..............\.................\102_6.tif
..............\.................\102_7.tif
..............\.................\102_8.tif
..............\.................\103_1.tif
..............\.................\103_2.tif
..............\.................\103_3.tif
..............\.................\103_4.tif
..............\.................\103_5.tif
..............\.................\103_6.tif
..............\.................\103_7.tif
..............\.................\103_8.tif
..............\.................\104_1.tif
..............\.................\104_2.tif
..............\.................\104_3.tif
..............\.................\104_4.tif
..............\.................\104_5.tif
..............\.................\104_6.tif
..............\.................\104_7.tif
..............\.................\104_8.tif
..............\.................\105_1.tif
..............\.................\105_2.tif
..............\.................\105_3.tif
..............\.................\105_4.tif
..............\.................\105_5.tif
..............\.................\105_6.tif
..............\.................\105_7.tif
..............\.................\105_8.tif
..............\.................\106_1.tif
..............\.................\106_2.tif
..............\.................\106_3.tif
..............\.................\106_4.tif
..............\.................\106_5.tif
..............\.................\106_6.tif
..............\.................\106_7.tif
..............\.................\106_8.tif
..............\.................\107_1.tif
..............\.................\107_2.tif
..............\.................\107_3.tif
..............\.................\107_4.tif
..............\.................\107_5.tif
..............\.................\107_6.tif
..............\.................\107_7.tif
..............\.................\107_8.tif
..............\.................\108_1.tif
..............\.................\108_2.tif
..............\.................\108_3.tif
..............\.................\108_4.tif
..............\.................\108_5.tif
..............\.................\108_6.tif
..............\.................\108_7.tif
..............\.................\108_8.tif
..............\.................\109_1.tif
..............\.................\109_2.tif
..............\.................\109_3.tif
..............\.................\109_4.tif
..............\.................\109_5.tif
..............\.................\109_6.tif
..............\.................\109_7.tif
..............\.................\109_8.tif
..............\.................\110_1.tif
..............\.................\110_2.tif
..............\.................\110_3.tif
..............\.................\110_4.tif
..............\.................\110_5.tif
..............\.................\110_6.tif
..............\.................\110_7.tif
..............\.................\110_8.tif
..............\.................\data.mat
..............\.................\data1.mat
..............\.................\extraction.m
..............\.................\finaltry.m
..............\.................\finaltry.mat
..............\.................\Fingerprint_demo.asv
..............\.................\Fingerprint_demo.fig
..............\.................\Fingerprint_demo.m
..............\.................\FP_recognize.m
..............\.................\fp_SVM.m
..............\.................\FP_trans.m
..............\.................\FP_trans256.m
..............\.................\gaborfilter1.m
..............\.................\model.mat
..............\.................\nearest.m
..............\.................\predict.mat
..............\.................\htm" target=_blank>README
..............\.................\svm.cpp