Simple_FingerPrint_Matching
所属分类：图形图像处理
开发工具：matlab
文件大小：4785KB
下载次数：15
上传日期：2015-03-26 15:31:50
上 传 者：
ling067
说明： 指纹匹配仍然是一个具有挑战性的问题,可靠的人身份验证,因为复杂的扭曲参与两个印象相同的手指。因为绝大多数的指纹匹配算法依赖于细节匹配,细节信息被认为是自动指纹识别系统非常重要的特性。误判率系统的准确性取决于图像质量,图像增强方法、特性提取算法,和以前特性集
(Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. Since the vast majority of fingerprint matching algorithms rely on minutiae matching, minutiae information are regarded as highly significant features for Automatic Fingerprint Recognition System. The accuracy of the AFRS system depends on the image quality, image enhancement methods, feature set extraction algorithms, and feature set pre‐processing/post‐processing algorithms.)
文件列表:
FExtraction\compute_coherence.m (1072, 2013-07-17)
FExtraction\freqest.m (3640, 2013-07-17)
FExtraction\angular_filters_pi_4.mat (98488, 2013-07-13)
FExtraction\smoothen_frequency_image.m (2272, 2013-07-23)
FExtraction\p.m (712, 2013-07-17)
FExtraction\normalise.m (2313, 2013-07-17)
FExtraction\test_bifurcation.m (5940, 2013-07-17)
FExtraction\ridgefreq.m (2993, 2013-07-17)
FExtraction\smoothen_orientation_image.m (1058, 2013-07-13)
FExtraction\dist2.m (820, 2013-07-17)
FExtraction\fft_enhance_cubs.m (10655, 2013-08-27)
FExtraction\angular_filters_pi_2.mat (98488, 2013-07-13)
FExtraction\angular_filter_bank.m (2688, 2013-07-13)
FExtraction\ridgefilter.m (4774, 2013-07-17)
FExtraction\ridgesegment.m (2321, 2013-07-17)
FExtraction\ridgeorient.m (4185, 2013-07-17)
FVC2002\DB1_B\107_7.tif (145624, 2001-11-20)
FVC2002\DB1_B\107_4.tif (145624, 2001-11-06)
FVC2002\DB1_B\106_7.tif (145624, 2001-11-20)
FVC2002\DB1_B\108_3.tif (145624, 2001-10-23)
FVC2002\DB1_B\110_3.tif (145624, 2001-10-23)
FVC2002\DB1_B\107_2.tif (145624, 2001-10-23)
FVC2002\DB1_B\102_4.tif (145624, 2001-11-06)
FVC2002\DB1_B\109_2.tif (145624, 2001-11-27)
FVC2002\DB1_B\103_5.tif (145624, 2001-11-24)
FVC2002\DB1_B\109_8.tif (145624, 2001-11-27)
FVC2002\DB1_B\104_8.tif (145624, 2001-11-20)
FVC2002\DB1_B\106_3.tif (145624, 2001-11-20)
FVC2002\DB1_B\102_3.tif (145624, 2001-11-06)
FVC2002\DB1_B\102_8.tif (145624, 2001-11-20)
FVC2002\DB1_B\104_6.tif (145624, 2001-11-20)
FVC2002\DB1_B\104_4.tif (145624, 2001-11-06)
FVC2002\DB1_B\107_1.tif (145624, 2001-10-23)
FVC2002\DB1_B\108_8.tif (145624, 2001-11-20)
FVC2002\DB1_B\107_3.tif (145624, 2001-10-23)
FVC2002\DB1_B\106_2.tif (145624, 2001-10-23)
FVC2002\DB1_B\103_7.tif (145624, 2001-11-24)
FVC2002\DB1_B\105_3.tif (145624, 2001-10-23)
FVC2002\DB1_B\109_4.tif (145624, 2001-11-27)
FVC2002\DB1_B\102_7.tif (145624, 2001-11-20)
... ...
FingerPrint Recognition
------------------------------------
Author: Vahid. K. Alilou
Requirements:
1) Matlab 2012b + Image Processing toolkit.
2) FVC2002 Database (can download from fvc2002 competition site: http://bias.csr.unibo.it/fvc2002/).
Guide:
1. main_single.m:
It first, extracts features from the FVC2002 database file that you have selected.
Then it compares the selected file with another file from the database and generates
a similarity score.
2. main_total.m:
It first, extracts features from the FVC2002 database file that you have selected.
Then it compares the selected file with all files from the database and generates
similarity scores for each one.
3. main_calc_fmr.m:
It generates fmr & fnmr diagrams.
Please contact me for any more information at
k.alilou@hotmail.com
近期下载者：
相关文件：
收藏者：