Naja M I, Rajesh R
Fingerprint identification is one of the most important biometric technologies which has drawn a substantial amount of attention recently. The uniqueness of a fingerprint is exclusively determined by the local ridge characteristics and their relationships. Very important. Fingerprint images get degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction. However, the performance of a minutiae extraction algorithm relies heavily on the quality of the input fingerprint images. Here introducing a fast fingerprint enhancement algorithm, which can adaptively improve the clarity of ridge and valley structures of fingerprint images based on the estimated local ridge orientation and frequency and evaluated the performance of the image enhancement algorithm using the goodness index of the extracted minutiae and the accuracy of an online fingerprint verification system.
English 
Spanish 
Chinese 
German 
French 
Japanese 
Portuguese 
Hindi