face-recognition code in matlab

Hello all ... all i need is face recognition and face matching code in matlab because my project depends on that and i've not studied matlab or DIP as a course .... please help me by giving me face recognition code in matlab ... thnxxxxx

Answer 1

[Sabarinathan Vadivelu]

If you have MATLAB R2013a, Then you can find the face detector which comes inbuilt with MATLAB.

% Create a cascade detector object.
faceDetector = vision.CascadeObjectDetector();

% Read a video frame and run the detector.
videoFileReader = vision.VideoFileReader('visionface.avi');
videoFrame      = step(videoFileReader);
bbox            = step(faceDetector, videoFrame);

% Draw the returned bounding box around the detected face.
videoOut = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
figure, imshow(videoOut), title('Detected face');

[Muhammad Omer]

i am sorry my question was wrong ... actually i need face recognition code in matlab not face detection only ... please help me please ...

[Sabarinathan Vadivelu]

1. Acquire face images from "n" Number of persons.
2. Detect face.
3. Extract the required features.
4. Train the database using a classifier, E,g SVM.
5. Test Your code.

[Muhammad Omer]

cant you provide me the code actually ive already mentioned that ive not studied it as a course ...

[prashanth]

http://www.pages.drexel.edu/~sis26/Eigenface%20Tutorial.htm please check this site very helpful.You will get code here.

[Sabarinathan Vadivelu]

@ Omer, If this fulfills your need, then make sure you accepted the answer.

[shahana muzaffar]

if we want to capture the image through direct integrated cam wt can i do??plz tel me in 2014a matlab

[omar A.alghafoor]

Hi Mathworks team .

I am having two problems distinguishing faces using (face recognition convolutional neural network)

First: How to detect the intruder.

Second: The facial recognition overlaps between one person and another in the system.

The first test on grayscale images was good recognition, but on realtime of web camera the results are incorrect, knowing that I use a camera that has accuracy: 1024x570

note : all imge are grayscale .

Where is the defect in the code?

this my code for training dataset:

clc
clearvars
close all
%% variables
trainingNumFiles = 0.8;
rng(1)
faceData = imageDatastore('AutoCapturedFaces','IncludeSubfolders',true,'LabelSource','foldernames');
% Resize the images to the input size of the net
faceData.ReadFcn = @(loc)imresize(imread(loc),[227,227]);

% read one image to get pixel size
img = readimage(faceData,1);
% splitting the testing and training data
[trainFaceData,testFaceData] = splitEachLabel(faceData, ...
    trainingNumFiles,'randomize');
%% defining CNN parameters
% defining layers
layers = [imageInputLayer([size(img,1) size(img,2) 1])
    %middle layers
    convolution2dLayer(5,3,'Padding', 2, 'Stride',3)
    reluLayer
    maxPooling2dLayer(3,'Stride',3)
    %final layers
    fullyConnectedLayer(8)
    softmaxLayer
    classificationLayer()];
% options to train the network
options = trainingOptions('sgdm', ...
    'MiniBatchSize', 40, ...
    'InitialLearnRate', 1e-4, ...
    'MaxEpochs', 25, ...
    'LearnRateSchedule', 'piecewise', ...
    'LearnRateDropFactor', 0.875, ...
    'LearnRateDropPeriod', 12, ...
    'VerboseFrequency', 5);
% training the network
convnet = trainNetwork(trainFaceData,layers,options);
%% classifying
YTest = classify(convnet,testFaceData);
TTest = testFaceData.Labels;
%% Calculate the accuracy.
accuracy = sum(YTest == TTest)/numel(TTest)
save convnet 

accuracy =

0.9375

https://www.mathworks.com/matlabcentral/answers/774947-face-recognition-convolutional-neural-network?s_tid=prof_contriblnk