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%fingerprint image segmentation %GUI %advanced fingerprint and face biometrics recognition codes %more code, please visit http://biometrics.lingd.net/ %modifide by yang jucheng, chonbuk national u

function [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt) %knnrLoo: Leave-one-out recognition rate of KNNR % Usage: [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt) % rec

function [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt) %knnrLoo: Leave-one-out recognition rate of KNNR % Usage: [recogRate, computed, nearestIndex] = knnrLoo(DS, k, plotOpt) % rec

% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-

/* readme.txt describing the model of object recognition at CBCL kouh@mit.edu September 2006. */ 1. OVERVIEW This package of codes is an implementation of a model of rapid object recog

% PRTools3.0 December 1999 % % PRTOOLS is a basic set of statistical pattern recognition % tools under Matlab. Not all commands are entirely tested. % % It is heavily upgraded from the previous versi

function [prob,q] = viterbi(hmm, O) % viterbi recognition and decoding % % inputs: % hmm -- hmm model struct % O -- input observation sequence, T*D % T is number of frames, D is o

%% Character Recognition Example (III):Training a Simple NN for %% classification %% Read the image I = imread('sample.bmp'); %% Image Preprocessing img = edu_imgpreprocess(I); for cnt = 1:5

% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-

% Fisher Linear Discriminat. % % fld - Fisher Linear Discriminat. % fldqp - Fisher Linear Discriminat using quadratic programming. % % About: Statistical Pattern Recognition Toolbox % (C) 1999-