hi, i'm doing my final project (offline fingerprint recognition).
i'd got Luigi Rosa's steps: input image, find the center, crop, sectorization, normalize, gabor filter, feature vector of variance.
i'm quite confuse in these two steps: crop, sectorization.
why we have to crop the image?
what is the function of sectorization in fingerprint recognition?
I think cropping is to make the image to be smaller so the processing is faster...about sectorization, not really sure, maybe you can upload the paper here, and I think somebody may help you on this.
Not really sure about this, but think that filter-based extraction is a general term, means use filter to do extraction. There should be more specific algorithm of filter-based extraction.