Reputation: 1
Hi I am doing my Final Year M.E Project in Tamil Character Recognition. I have completed till Feature Extraction step. Now I got Features for Each image in the Dataset(HP Labs). How to Feed these features to train SVM and How to Perform Class Labeling. I am new to this Neural Network area. So please Help me....
Upvotes: 0
Views: 1646
Reputation: 21
In Matlab neural Network has two inputs:
Example:
net = newFF(input,target);
net = train(net,input,target);
You give feature is input vector. Target is corresponding feature id(char ID)
.
Extract feature from image, then test the feature in Neural Network using sim function.
sim(net,features)
.. It returns corresponding char-ID.
open Matlab then type nftool
and study that tool box.
same thing in SVM
svmtrain(input,label).
input
as feature.
label
as ID of particular feature.
using svmclassify()
method . It returns output of charID
.
Upvotes: 2
Reputation: 715
you may want to look at the svmclassify and svmtrain methods in the bioinformatics toolbox in matlab.
by the way, do you really want support vector machines or neural networks? they are very different from each other. please be clear which classifier you want to use for your problem before deciding to use a particular implementation.
if you are new to the field of machine learning and want to try out a couple of algorithms, I would suggest you try Weka first.
Upvotes: 0