Name
Abstract | ||
|---|---|---|
Fingerprint features can be divided into three major categories based on the granularity at which they are extracted: level 1, level 2, and level 3 features. Orientation field, ridge frequency field, and minutiae set are three fundamental components of fingerprint, where the orientation field and ridge frequency field are regarded as level 1 features and minutiae set as level 2 features. It is gen... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIFS.2016.2541345 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Feature extraction,Spirals,Frequency modulation,Image reconstruction,Fingerprint recognition,Data mining,NIST | Iterative reconstruction,Block size,Computer vision,Pattern recognition,Computer science,Fingerprint recognition,Minutiae,Fingerprint,Feature extraction,NIST,Artificial intelligence,Pixel | Journal |
Volume | Issue | ISSN |
11 | 9 | 1556-6013 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||