Name
Abstract | ||
|---|---|---|
Recently, fingerprint has been received considerable attentions as a user authentication technique using biometrics. Fingerprint retrieval, which retrieves a candidate list of fingerprints having similar features with the given fingerprint from a fingerprint database, is one of interesting real-time applications. However, using the straightforward approach, it takes a long response time to scan the entire database and to compare the query against each reference on a large-scale database. Even when implemented on a hardware, it is hard to satisfy the real-time requirement. In this paper, to reduce the response time, we employ the geometric hashing technique which has been widely used for model-based object recognition. Using this algorithm, the number of fingerprint minutiae can be restricted. It limits the hardware size used for implementation to fit into FPGA-chips. Furthermore, we develop a scalable implementation for parallel geometric hashing on an FPGA-based PCI platform. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553939_54 | KES (3) |
Keywords | Field | DocType |
real-time requirement,entire database,response time,interesting real-time application,long response time,hardware implementation,hardware size,large-scale database,fingerprint retrieval,scalable implementation,fingerprint minutia,fingerprint database,object recognition,real time processing,satisfiability,real time,chip | Parallel algorithm,Fingerprint Verification Competition,Fingerprint recognition,Computer science,Fingerprint,Hash function,Geometric hashing,Biometrics,Computer hardware,Scalability | Conference |
Volume | ISSN | ISBN |
3683 | 0302-9743 | 3-540-28896-1 |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongwha Chung | 1 | 233 | 47.32 |
| Kichul Kim | 2 | 63 | 9.36 |
| M. Kim | 3 | 122 | 13.25 |
| Sungbum Pan | 4 | 32 | 4.55 |
| Park, N. | 5 | 160 | 16.89 |