How do I retrieve texture using GLCM and classify using SVM Classifier?
Are you using Matlab?  If so then you would either need the Bioinformatics Toolbox, that includes an SVM classifier, or you can download libsvm, which has Matlab wrappers for training and testing.

Then you are going to need some labeled data. Are you classifying liver tummors as opposed to healthy liver?  Then you would need images of liver tumors and healthy livers, each labeled as such.

Then you need to compute some features. What those are, depends on the nature of the problem.  Texture features seem like a good start.  Consider using co-occurrence matrices or local binary patterns.

Edit:
As of the R2014a release there is a fitcsvm function in the Statistics and Machine Learning Toolbox for training a binary SVM classifier. There is also fitcecoc for training a multi-class SVM.