Name
Abstract | ||
|---|---|---|
Biometrics-based authentication and identification sys- tems have to handle images acquired in noisy and hostile en- vironments. The signal quality is assessed to decide if there is sufficient signal strength to process further. Poor qual- ity signals require "enhancement" before further processing of the input signal. Often enhancement implies creating a more visibly pleasing image. However, biometrics signals need to improve the image quality for machine processabil- ity. This means that the enhancement algorithm should have some weak model about the sample (image) formation pro- cess. Enhancement is then some type of "normalization" or "beautification". We present a weak model-based image enhancement algorithm for fingerprint images. The results of the proposed algorithm are presented in terms of the im- provements in the overall system performance measured in terms of a Receiver Operating Characteristics curve. |
Year | Venue | DocType |
|---|---|---|
2002 | ICIP (1) | Conference |
Citations | PageRank | References |
1 | 0.48 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruud M. Bolle | 1 | 2116 | 230.26 |
| Nalini K. Ratha | 2 | 1090 | 93.04 |
| Jonathan H. Connell | 3 | 712 | 60.10 |