readme.txt

matlab平台上的图像处理源代码

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% 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:[e-mail]
% 2006/6/3
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%--------------------------------------------------------------------------
% 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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