Fingerprint minutiae filtering based on multiscale directional information
Апстракт
Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.
Кључне речи:
biometrics / fingerprint image filtering / minutiae detection / orientation field / post processingИзвор:
Facta universitatis - series: Electronics and Energetics, 2007, 20, 2, 233-244Издавач:
- Univerzitet u Nišu
Институција/група
JakovTY - JOUR AU - Popović, Brankica AU - Mašković, Ljiljana PY - 2007 UR - http://jakov.kpu.edu.rs/handle/123456789/162 AB - Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number. PB - Univerzitet u Nišu T2 - Facta universitatis - series: Electronics and Energetics T1 - Fingerprint minutiae filtering based on multiscale directional information VL - 20 IS - 2 SP - 233 EP - 244 DO - 10.2298/FUEE0702233P ER -
@article{ author = "Popović, Brankica and Mašković, Ljiljana", year = "2007", abstract = "Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.", publisher = "Univerzitet u Nišu", journal = "Facta universitatis - series: Electronics and Energetics", title = "Fingerprint minutiae filtering based on multiscale directional information", volume = "20", number = "2", pages = "233-244", doi = "10.2298/FUEE0702233P" }
Popović, B.,& Mašković, L.. (2007). Fingerprint minutiae filtering based on multiscale directional information. in Facta universitatis - series: Electronics and Energetics Univerzitet u Nišu., 20(2), 233-244. https://doi.org/10.2298/FUEE0702233P
Popović B, Mašković L. Fingerprint minutiae filtering based on multiscale directional information. in Facta universitatis - series: Electronics and Energetics. 2007;20(2):233-244. doi:10.2298/FUEE0702233P .
Popović, Brankica, Mašković, Ljiljana, "Fingerprint minutiae filtering based on multiscale directional information" in Facta universitatis - series: Electronics and Energetics, 20, no. 2 (2007):233-244, https://doi.org/10.2298/FUEE0702233P . .