Abstract
A set of reliable techniques is presented in this paper. These techniques include enhancement and minutiae extraction that involve the clarity of the ridge and valley structures of the input fingerprint images based on the frequency and orientation of the local ridges and thereby extracting correct minutiae.
Fingerprint image enhancement algorithms are evaluated and implemented to understand how the enhancement algorithm works and how well it is. Two types of features are presented in this job. (i) global ridge associated with central region of the fingerprint and (ii) minutiae associated with local ridge and furrows structure. Extraction of minutiae, involves a series of image enhancement such as normalization, ridge orientation estimation, filtering, thresholding, thinning and False minutiae removal. After applying image enhancement and minutiae extraction techniques on a set of images, we took as a sample, the results was perfect. The minutiae has been removed and a results, we got was in better condition.
