文件名称:Simple_FingerPrint_Matching
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-03-26
- 文件大小：
- 4.67mb
- 下载次数：
- 0次
- 提 供 者：
- 小*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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.
-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.
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下载文件列表
FExtraction\compute_coherence.m
...........\freqest.m
...........\angular_filters_pi_4.mat
...........\smoothen_frequency_image.m
...........\p.m
...........\normalise.m
...........\test_bifurcation.m
...........\ridgefreq.m
...........\smoothen_orientation_image.m
...........\dist2.m
...........\fft_enhance_cubs.m
...........\angular_filters_pi_2.mat
...........\angular_filter_bank.m
...........\ridgefilter.m
...........\ridgesegment.m
...........\ridgeorient.m
.VC2002\DB1_B\107_7.tif
.......\.....\107_4.tif
.......\.....\106_7.tif
.......\.....\108_3.tif
.......\.....\110_3.tif
.......\.....\107_2.tif
.......\.....\102_4.tif
.......\.....\109_2.tif
.......\.....\103_5.tif
.......\.....\109_8.tif
.......\.....\104_8.tif
.......\.....\106_3.tif
.......\.....\102_3.tif
.......\.....\102_8.tif
.......\.....\104_6.tif
.......\.....\104_4.tif
.......\.....\107_1.tif
.......\.....\108_8.tif
.......\.....\107_3.tif
.......\.....\106_2.tif
.......\.....\103_7.tif
.......\.....\105_3.tif
.......\.....\109_4.tif
.......\.....\102_7.tif
.......\.....\102_1.tif
.......\.....\105_4.tif
.......\.....\108_1.tif
.......\.....\104_5.tif
.......\.....\103_6.tif
.......\.....\108_5.tif
.......\.....\104_3.tif
.......\.....\103_3.tif
.......\.....\103_2.tif
.......\.....\106_6.tif
.......\.....\101_8.tif
.......\.....\110_4.tif
.......\.....\106_5.tif
.......\.....\107_6.tif
.......\.....\108_7.tif
.......\.....\109_6.tif
.......\.....\106_8.tif
.......\.....\105_6.tif
.......\.....\101_3.tif
.......\.....\107_5.tif
.......\.....\103_8.tif
.......\.....\110_7.tif
.......\.....\103_4.tif
.......\.....\109_5.tif
.......\.....\110_2.tif
.......\.....\109_1.tif
.......\.....\109_7.tif
.......\.....\103_1.tif
.......\.....\108_6.tif
.......\.....\110_5.tif
.......\.....\106_1.tif
.......\.....\101_2.tif
.......\.....\110_1.tif
.......\.....\105_7.tif
.......\.....\110_8.tif
.......\.....\105_5.tif
.......\.....\101_4.tif
.......\.....\104_2.tif
.......\.....\109_3.tif
.......\.....\106_4.tif
.......\.....\105_1.tif
.......\.....\102_2.tif
.......\.....\101_5.tif
.......\.....\105_8.tif
.......\.....\101_6.tif
.......\.....\108_4.tif
.......\.....\104_1.tif
.......\.....\102_5.tif
.......\.....\108_2.tif
.......\.....\110_6.tif
.......\.....\107_8.tif
.......\.....\104_7.tif
.......\.....\102_6.tif
.......\.....\101_1.tif
.......\.....\101_7.tif
.......\.....\105_2.tif
build_db.m
build_fmr.m
db.mat
ext_finger.m