%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%Dr. JuCheng Yang,%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%Division of Electronics & Information Engineering,%%%%%%
%%%Chonbuk National University,%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%664-14 1Ga Deonjin-dong Deonjin-gu,%%%%%%%%%%%%%%%%%%%%%
%%%Jeonju, Jeonbuk, 561-756, Korea.%%%%%%%%%%%%%%%%%%%%%%%%
%%%Email: biometricscode@gmail.com %%%%%%%%%%%%%%%%%%%%%%%%
%%%http://yangjucheng.chonbuk.ac.kr/%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%Abstract
%A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image 
%is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, a set of invariant
%moment features, as a kind of texture features, are extracted from a Region of Interest (ROI) area based on the
%reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments.
%Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test 
%fingerprint image and template fingerprint image in the database. 

%Reference
%[1] Sharat C., Alexander N. C. Venu G., Fingerprint enhancement using STFT analysis, Pattern Recognition, In Press,
%Corrected Proof, Available online 22 August 2006.
%[2] Kenneth N. and Josef B., Localization of corresponding points in fingerprints by complex filtering, Pattern 
%Recognition Letters, 24, pp2135-2144, 2003. 
%[3] Ju Cheng Yang, Sook Yoon, Dong Sun Park, ¡°Applying Learning Vector Quantization Neural Network for
%Fingerprint Matching¡±, Lecture Notes in Artificial Intelligence (LNAI 4304), Springer, Berlin, Dec., 2006. (SCI ) 
%[4]Ju Cheng Yang, Dong Sun Park, ¡°A Fingerprint Verification Algorithm Using Tessellated Invariant Moment Features¡±,
%Neurocomputing, Vol. 71(10-12) pp. 1939-1946, 2008.(SCI ) 

%Acknowledgement
%The author would like to thank some code suppliers such as Chikkerur Sharat and Luigi ROSA for their contributions.

%Using Guide:
%matlab 6.5 version (or over version)+ image proceesing tools;

%The 1st step, change the files directory as the matlab current directory;
%The 2nd step, in the "command" window, input "test", then "Enter";
%The 3rd step, GUI will be shown.

%"readme.txt" file: 
%this is the introduce file for the algorithm;
%if you want more information, see the website 
%http://yangjucheng.chonbuk.ac.kr/
