How can i reduce the size of a feature matrix into the limited no. of elements in to the feature vector?

I am working on the vein recognition. I have extracted the features using Local Line Binary Pattern(LLBP) which gives a matrix of the image size. Now i would like to combine this matrix with some other features such as minutia points or wavelet features. So how can i combine this big matrix with the other features, so that one feature vector can be formed.

Answer 1

[KSSV]

There are multiple ways to reduce the size of matrix....

1. Do inteprolation and reduce.

2. Skip number of rows and columns.

[Santosh Shrikhande]

Thank you KSSV. But which rows and columns should be skiped. Can you suggest.

[KSSV]

This up to you.....If I were you, I would go for 1:skip:end....decide how many rows/columns you want to skip.