What type of filtering is used in iris recognition?

In iris recognition, the most common type of filtering used is Gabor filtering. This technique is effective for extracting texture features from the iris by analyzing the frequency components of the iris pattern. Gabor filters are particularly well-suited for capturing the intricate details of the iris, such as its ridges and furrows, which are essential for accurate recognition. Additionally, other filtering techniques like wavelet transforms may also be utilized to enhance iris images and improve recognition accuracy.