Abstract
The principle of fingerprint (FP) identification and a Pattern Recognition Model for automatic fingerprint identification is given. The input fingerprint image is subjected to a number of preprocessing operations to improve the quality of the image. Contextual filters suitable for fingerprint image enhancement are developed. Direction based segmentation is used to separate the foreground from the background and noisy areas. The ridge endings and bifurcation points, the minutiae, are the features used for FP identification. The algorithms for various preprocessing operations and feature extraction together with the approaches for FP matching are discussed. These algorithms have been tested for more than 10,000 FP imges of different quality. The results are found to be good and can be employed in practical applications.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
