aggiornamento.m

Fingerprint source code using matlab

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% You are using Fingerprint Recognition System Release 3.0
% Upgrade your Fingerprint Recognition System now!
% http://utenti.lycos.it/matlab/fingerprint4.htm
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% We have developed a novel, hybrid technique for core point detection. This algorithm, to our knowledge, 
% is not documented in literature and is based on the mutual information that is exchanged between improved 
% procedures. The core point location is more accurately detected by this merging of multiple techniques.
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% This new algorithm was tested on FVC2004 training fingerprint images. Test results are available on request. 
% Please email me ( [e-mail] ) in order to obtain them.
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% Release        Date      Major features
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% 5.0      2005.05.15      - The merging technique is greatly improved. This new algorithm was tested on FVC2004 
%                            training fingerprint images. Test results are available on request. Please email me 
%                            in order to obtain them. 
%                          - Parameters for image segmentation are estimated automatically 
%                          - An improved algorithm is used when the rotated FingerCode is added to database. 
%                          - Now this procedure does not introduce any additional noise 
%                          - A faster fingerprint image acquisition when a new fingerprint image is added to database 
%                          - Implementation of 1D and 2D recursive Gabor filtering 
%                          - Optimized pixel-wise orientation field estimation ( 80% faster than Release 4.0 ) 
%                          - List of fingerprint databases available on the web 
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% 4.0      2005.03.21      - An improved algorithm for core point detection, based on a novel hybrid technique 
%                          - A better fingerprint segmentation which makes use of morphological operations 
%                            (binary erosion and dilation) 
%                          - Exhaustive documentation of the implemented algorithms 
%                          - Improved GUI 
%                          - Better error management 
%                          - Image enhancement
%                          - Orientation field estimation  
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% 3.0      2004.06.22      - Major bugs fixed 
%                          - New GUI 
%                          - Complex filtering techniques 
%                          - Improved core point determination 
%                          - Robustness against noise 
%                          - Modifiable simulation parameters 
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% 2.0      2003.11.29      - New GUI 
%                          - 8 Gabor filters 0 22.5 45 67.5 90 112.5 135 157.5 degrees 
%                          - Convolution is performed in frequency domain 
%                          - DataBase 
%                          - Fingerprint matching 
%                          - Error management 
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% Luigi ROSA
% Via Centrale 35
% 67042 Civita Di Bagno
% L'Aquila - ITALY
% mobile [phone]
% email [e-mail]
% website http://utenti.lycos.it/matlab
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