Improving minutiae extraction in fingerprint images through robust enhancement
Abstract
The paper describes in detail the skeletonbased algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm.
Keywords:
fingerprint image / minutia extraction / enhancement / Log-Gabor filtersSource:
2013 21st telecommunications forum (TELFOR), 2013, 506-Publisher:
- IEEE, New York
Funding / projects:
- Inovation of Forensic Methods and their Application (RS-MESTD-Technological Development (TD or TR)-34019)
- New Information Technologies for Analytical Decision Making Based on Experiment Observation and their Application in Biological, Economic and Sociological Systems (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44007)
Collections
Institution/Community
JakovTY - CONF AU - Banđur, Miloš V. AU - Popović, Brankica AU - Raičević, Anđelija M. AU - Ranđelović, Dragan PY - 2013 UR - http://jakov.kpu.edu.rs/handle/123456789/516 AB - The paper describes in detail the skeletonbased algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm. PB - IEEE, New York C3 - 2013 21st telecommunications forum (TELFOR) T1 - Improving minutiae extraction in fingerprint images through robust enhancement SP - 506 DO - 10.1109/TELFOR.2013.6716277 ER -
@conference{ author = "Banđur, Miloš V. and Popović, Brankica and Raičević, Anđelija M. and Ranđelović, Dragan", year = "2013", abstract = "The paper describes in detail the skeletonbased algorithm for the automatic extraction of fingerprint minutiae. These distinguishing characteristics are used both in the manual and automatic (AFIS-Automatic Fingerprint Identification System) fingerprint matching process for identification purpose. Proposed enhancement algorithm, utilizing multiscale orientation field estimation along with Log-Gabor filters in frequency domain, significantly improves fingerprint image quality, resulting in reduced number of falsely minutiae extracted. Results of experiments conducted on collections of fingerprint images show competitive performance of proposed algorithm.", publisher = "IEEE, New York", journal = "2013 21st telecommunications forum (TELFOR)", title = "Improving minutiae extraction in fingerprint images through robust enhancement", pages = "506", doi = "10.1109/TELFOR.2013.6716277" }
Banđur, M. V., Popović, B., Raičević, A. M.,& Ranđelović, D.. (2013). Improving minutiae extraction in fingerprint images through robust enhancement. in 2013 21st telecommunications forum (TELFOR) IEEE, New York., 506. https://doi.org/10.1109/TELFOR.2013.6716277
Banđur MV, Popović B, Raičević AM, Ranđelović D. Improving minutiae extraction in fingerprint images through robust enhancement. in 2013 21st telecommunications forum (TELFOR). 2013;:506. doi:10.1109/TELFOR.2013.6716277 .
Banđur, Miloš V., Popović, Brankica, Raičević, Anđelija M., Ranđelović, Dragan, "Improving minutiae extraction in fingerprint images through robust enhancement" in 2013 21st telecommunications forum (TELFOR) (2013):506, https://doi.org/10.1109/TELFOR.2013.6716277 . .