Abstract
This paper discusses methods in evaluating fingerprint image quality on a local level. Feature vectors covering directional strength, sinusoidal local ridge/valley pattern, ridge/valley uniformity and core occurrences are first extracted from fingerprint image sub-blocks. Each sub-block is then assigned a quality level through pattern classification. Three different classifiers are employed to compare each of its different effectiveness. Positive results have been obtained based on our database.
| Original language | English |
|---|---|
| Pages (from-to) | 1241-1244 |
| Number of pages | 4 |
| Journal | Proceedings - International Conference on Image Processing, ICIP |
| Volume | 5 |
| Publication status | Published - 2004 |
| Event | 2004 International Conference on Image Processing, ICIP 2004 - , Singapore Duration: 2004 Oct 18 → 2004 Oct 21 |
All Science Journal Classification (ASJC) codes
- Engineering(all)