Name
Abstract | ||
|---|---|---|
This paper presents a front-end filtering algorithm for fingerprint identification, which uses orientation field and dominant ridge distance as retrieval features. We propose a new distance measure that better quantifies the similarity evaluation between two orientation fields than the conventional Euclidean and Manhattan distance measures. Furthermore, fingerprints in the data base are clustered to facilitate a fast retrieval process that avoids exhaustive comparisons of an input fingerprint with all fingerprints in the data base. This makes the proposed approach applicable to large databases. Experimental results on the National Institute of Standards and Technology data base-4 show consistent better retrieval performance of the proposed approach compared to other continuous and exclusive fingerprint classification methods as well as minutia-based indexing schemes |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TIFS.2006.885021 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
technology data,data base,consistent better retrieval performance,fingerprint retrieval,fingerprint identification,dominant ridge distance,exclusive fingerprint classification method,orientation field,fast retrieval process,manhattan distance measure,image retrieval,indexing terms,front end,image classification,indexation | Data mining,Pattern recognition,Computer science,Euclidean distance,Filter (signal processing),Image retrieval,Search engine indexing,Fingerprint retrieval,Fingerprint,Artificial intelligence,Euclidean geometry,Contextual image classification | Journal |
Volume | Issue | ISSN |
1 | 4 | 1556-6013 |
Citations | PageRank | References |
45 | 1.63 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xudong Jiang | 1 | 1885 | 117.85 |
| Manhua Liu | 2 | 323 | 23.91 |
| A. C. Kot | 3 | 258 | 20.69 |