AeonJo
Newbie level 1
Hello everyone ![Smile :) :)](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
I'm working on a project for fingerprints recognition and I'm actually trying to code the Gabor filter but I'm encountering many problems though I'm applying the exact formula of the filter!!
I don't know what's the problem.
I start by normalizing the image (mean = 0 and variance = 1)
Then I calculate the local orientation of each pixel. I use Sobel algorithm to calculate the gradient. I found that some use another filter (Gaussian filter mostly) for the orientation matrix. Why?
Then I apply the Gabor formula and use the openCV function 'filter2D' for the convolution
But the results are not what I expect
Help please!! :?::?:
I'm working on a project for fingerprints recognition and I'm actually trying to code the Gabor filter but I'm encountering many problems though I'm applying the exact formula of the filter!!
I don't know what's the problem.
I start by normalizing the image (mean = 0 and variance = 1)
Then I calculate the local orientation of each pixel. I use Sobel algorithm to calculate the gradient. I found that some use another filter (Gaussian filter mostly) for the orientation matrix. Why?
Then I apply the Gabor formula and use the openCV function 'filter2D' for the convolution
But the results are not what I expect
Help please!! :?::?: