- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Fingerprint Recognition by Using Iterative Closest Point | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 7, Issue 4, 2017, Pages 52-70 | ||
| Authors | ||
| Rajaa .D. Reasan ali; Ban N. Dhannoon | ||
| Abstract | ||
| Fingerprints are the oldest and most broadly used form of biometric identification. Everyone is known to have unique, immutable fingerprints. Fingerprint identification and recognition considered popular technique in many security and law enforcement applications. There are many systems rely on the matching of fingerprints using various methods and algorithm based on find position and orientation of ridge endings and bifurcations within the fingerprint image in level (level2,level3) we've focus on the other feature (bifurcation) which is found in detected ridges by applying a (3x3) mask to find bifurcation point. Also, we've find distances between bifurcation points | ||
| Keywords | ||
| Fingerprint recognition; bifurcation; ICP lgorithm; Bifurcation matching; ICP | ||
|
Statistics Article View: 235 PDF Download: 70 |
||