Identity verification using shape and geometry of human hands

作者：

Highlights：

• Shape and geometry features are encoded from contour of the hand only.

• Robust preprocessing is introduced to cope with the noise and disjoint fingers.

• Hand orientation and finger registration is applied to provide more flexibility.

• Two level score fusion is adopted to enhance the verification performance.

• Promising results are obtained over contact and contactless (IITD) datasets.

摘要

•Shape and geometry features are encoded from contour of the hand only.•Robust preprocessing is introduced to cope with the noise and disjoint fingers.•Hand orientation and finger registration is applied to provide more flexibility.•Two level score fusion is adopted to enhance the verification performance.•Promising results are obtained over contact and contactless (IITD) datasets.

论文关键词：Access control,Identity verification,Biometrics,Hand shape,Hand geometry,Wavelet,Score level fusion

论文评审过程：Available online 8 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.08.052