Palmprint verification based on principal lines
By De-shuang Huang, Wei Jia, David Dapeng Zhang. Pattern Recognition, 2008
372 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/2178b225d95d0a3d10a617a5f394834b30cba58e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- David Dapeng Zhang
- Lei Zhang
- Mohamed S. Kamel
- Adams Wai-Kin Kong
- Lin Zhang
- Hailong Zhu
- Almas Abbasi
- Woo Chaw Seng
In Signal Processing
- David Dapeng Zhang
- Mohamed S. Kamel
- Adams Wai-Kin Kong
- Lei Zhang
- Lin Zhang
- Hailong Zhu
- Almas Abbasi
- Woo Chaw Seng
Citations in the corpus
- Online finger-knuckle-print verification for personal authentication (2010, background): “Fingerprint [1-3], palmprint [10-16], hand geometry [17-19], hand vein [20-21], and inner-knuckle-print [28-29] have been proposed and well investigated in the literature.”
- A review of biometric technology along with trends and prospects (2014, methodology): “Application scenarios for biometric based identification Biometric technology Applications Fingerprint Border control, forensics, criminal identification, access control, computer logins, e-commerce, welfare disbursements, missing children identification, idcards, passports, user authentication on m”
- A survey of palmprint recognition (2009, methodology): “Two binary edge maps are compared based on a matching scheme called pixel-to-area comparison [83].”