1052
所属分类：matlab编程
开发工具：matlab
文件大小：4KB
下载次数：118
上传日期：2006-12-09 19:45:06
上 传 者：
kentalily
说明： MATLAB源码，preprocessing.m: preprocess the picture including:Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m: input the source picture output the core point of the fingerprint. samfun.m: generate the sample pattern automatically, which is used to sample the fingerprint. gabor2d_sub: get gabor filter. varpic.m: calculate variance picture
(MATLAB source, preprocessing.m : preprocess the picture including : Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m : input the source picture output the core point o f the fingerprint. samfun.m : generate the sample pattern automatically, which is used to sample the fingerprint. gabor2 d_sub : get gabor filter. varpic.m : calculate variance picture)
文件列表:
1052\centralizing.m (1289, 2006-06-04)
1052\gabor2d_sub.m (844, 2006-06-04)
1052\pic2vec.m (3681, 2006-06-04)
1052\preprocessing.m (1265, 2006-06-04)
1052\samfun.m (790, 2006-06-04)
1052\varpic.m (513, 2006-06-04)
1052 (0, 2006-12-06)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Main function for the fingerprint identification
% gets the character vector from the fingerprint picture
% written by zhang_rui at Chinese Academy of Science
% E-mail:zhangrui05@mails.gucas.ac.cn
% 2006/6/3
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%--------------------------------------------------------------------------
% a short description:
% input a gray fingerprint picture return the character vector of it.
% The main function calls :img=preprocessing(A);[ii,jj]=centralizing(A);
% Sam=samfun(r,R,n,N1);The following list gives a brief description:
%--------------------------------------------------------------------------
%M-file list:
%
% preprocessing.m:(be called by main function pic2vec)
% preprocess the picture including:Wiener filter;
% meddle value filter, change a gray picture to a
% binary one and then get the skeleton.
% centralizing.m: (be called by main function pic2vec)
% input the source picture output the core point of
% the fingerprint.Gabor filter is used in this function,
% and it call gabor2d_sub.m to generate a Gabor filter.
% it also call varpic.m to calculate a variance picture.
% samfun.m: (be called by main function pic2vec)
% generate the sample pattern automatically, which is
% used to sample the fingerprint.
% gabor2d_sub: (be called by centralizing.m)
% get gabor filter.
% varpic.m: (be called by centralizing.m)
% calculate variance picture
%--------------------------------------------------------------------------
% Globl parameter:
%
% the following parameter is used to define the sample pattern
% all these parameter is extremely correlate to the application
% and can be decided by experiment
% r=radius of smallest circle(default 10)
% R=radius of the biggest circls(default 160)
% n=number of the circle(default 7)
% N1=first circle's sample N1 times(default 4)
%--------------------------------------------------------------------------
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