What is the difference between a linear discriminative classifier and support vector machines?

LD classifier uses linear regression, SVMs use generalized linear models $($GLMs$).$

LD classifier is a dimensionality reduction method, SVMs are classification methods.

LD classifier is a segmentation method, SVMs use logistic regressions.

LD classifier is used for neural networks, SVMs are used for training data.