Abstract
Fingerprint image segmentation plays an important role in any fingerprint image analysis implementation and it should, ideally, be executed during the initial stages of a fingerprint manipulation process. After careful consideration of various fingerprint segmentation approaches, this manuscript focuses on a block-wise method that is based on the gray-level variance of the image. Because the method of interest is subjected to a number of variable parameters, this document then presents a formal study of these parameters, using a carefully chosen set of experiments. This series of experiments is conducted on database Db1 a of the 2002 version of the Fingerprint Verification Competition (FVC2002).
| Original language | English |
|---|---|
| Pages (from-to) | 5313-5326 |
| Number of pages | 14 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 7 |
| Issue number | 9 |
| Publication status | Published - Sept 2011 |
Keywords
- Gray-level variance
- Pixel-block size
- Segmentation
- Variance threshold
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Information Systems
- Computational Theory and Mathematics