Automated flexion crease identification using internal image seams

作者：Cook T^*; Sutton R; Buckley K

来源：Pattern Recognition, 2010, 43(3): 630-635.

DOI：10.1016/j.patcog.2009.08.012

• Palmprint
• Flexion crease
• Principal lines
• Biometrics
• Image seams

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 k d-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%.

• 出版日期2010-3