Palmprint verification based on robust line orientation code
By Wei Jia, De-shuang Huang, David Dapeng Zhang. Pattern Recognition, 2007
505 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/73b51b4be6709fb65a02c3088d69d35377e29266
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
- Wangmeng Zuo
- Ajay Kumar
- Mohamed S. Kamel
- Adams Wai-Kin Kong
- Yingbo Zhou
- Luc Van Gool
In Signal Processing
- David Dapeng Zhang
- Ajay Kumar
- Mohamed S. Kamel
- Adams Wai-Kin Kong
- Yingbo Zhou
- Lei Zhang
- Guangming Lu
- Wangmeng Zuo
Citations in the corpus
- A survey of palmprint recognition (2009, background): “Other researchers have studied this same feature [56, 74, 85].”
- An Online System of Multispectral Palmprint Verification (2010, methodology): “There are mainly three kinds of algorithms currently used in palmprint authentication: 1) subspace learning [3]‐[5]; 2) line detection [6], [7]; and 3) texture-based coding [8]‐[ 11 ].”
- Human Identification Using Palm-Vein Images (2011, methodology): “Since the focus of our work is on palm-vein identification, and the palm-vein images are largely observed in NIR, only the images that were acquired under 850-nm wavelength illumination from the CASIA database and near-infrared images from the PolyU database were used in the following experiments.”