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Automated flexion crease identification using internal image seams
- Source :
-
Pattern Recognition . Mar2010, Vol. 43 Issue 3, p630-635. 6p. - Publication Year :
- 2010
-
Abstract
- Abstract: Palmar flexion crease recognition is a palmprint identification method for verifying biometric identity. This paper proposes a method of automated flexion crease recognition that can be used to identify palmar flexion creases in online palmprint images. A modified image seams algorithm is used to extract the flexion creases, and a matching algorithm, based on kd-tree nearest neighbour searching, is used to calculate the similarity between them. Experimental results show that in 1000 images from 100 palms, when compared to manually identified flexion creases, a genuine acceptance rate of 100% can be achieved, with a false acceptance rate of 0.0045%. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00313203
- Volume :
- 43
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Pattern Recognition
- Publication Type :
- Academic Journal
- Accession number :
- 45553486
- Full Text :
- https://doi.org/10.1016/j.patcog.2009.08.012