Minutiae Feature Based Algorithm for Finger Print Recognition and Verification
In this paper, the authors describe Minutiae based fingerprint verification and recognition algorithm for offline systems. Preprocessing stage includes image enhancement, binarization, segmentation, ROI extraction and thinning. Quality of poor and distorted images is improved by image enhancement. Improved images are binarized and segmented to extract Region Of Interest (ROI). This image is thinned to extract Minutiae. Feature extraction stage includes the extraction of Minutiae i.e. ridge terminations and ridge bifurcations. Post processing stage includes removal of false Minutiae and then saving of templates.