Fingerprint ridge orientation estimation using a modified Canny Edge Detection Mask

dc.contributor.authorPhillips, Laurice
dc.contributor.authorBernard, Margaret
dc.date.accessioned2012-10-03T13:36:42Z
dc.date.available2012-10-03T13:36:42Z
dc.date.issued2012-10-03
dc.description.abstractFingerprint recognition is arguably the most popular biometric used in authentication of individuals today. One critical step in the process of automatic fingerprint recognition is the segmentation of a digital fingerprint image into smaller regions where local image features can be more easily enhanced, analyzed or extracted. In this process it is essential to accurately estimate the fingerprint ridge orientation within the local region so that the fingerprint’s core singular points can be identified. This research paper proposes a novel approach to estimating the local ridge orientation by using an image convolution operation based on a Canny Edge detection mask. Experimental results illustrate the effectiveness of the algorithm in establishing the dominant edge direction of the ridge.en_US
dc.identifier.urihttps://hdl.handle.net/2139/13353
dc.language.isoenen_US
dc.subjectSegmentationen_US
dc.subjectCanny Edge Detection Masken_US
dc.subjectEdge directionen_US
dc.subjectSegment orientationen_US
dc.titleFingerprint ridge orientation estimation using a modified Canny Edge Detection Masken_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
FingerprintRidge.pdf
Size:
394.54 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.78 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections