Palmprint recognition with gabor and CNN

  Kiến thức lập trình

I’m using gabor filter on ROI (region of interest) images then i’m putting them on the CNN model is this code right for CNN and palmprint recognition ?

# Define Gabor filters
def build_filters():
    filters = []
    ksize = 11
    for theta in range(4):
        theta = np.pi * (theta / 4)
        for sigma in (1, 3, 5, 7, 9) :
            for lambd in np.arange(0, np.pi, np.pi / 4):
                for gamma in (0.05, 0.3):
                    kern = cv2.getGaborKernel((ksize, ksize), sigma, theta, lambd, gamma, 0.4, ktype=cv2.CV_32F)
                    kern /= 1.5 * kern.sum()
    return filters

# Apply Gabor filters to the image
def process(img, filters):
    accum = np.zeros_like(img)
    for kern in filters:
        fimg = cv2.filter2D(img, cv2.CV_8UC3, kern)
        np.maximum(accum, fimg, accum)
    return accum

I’m putting the result returned from process method on the CNN model