Palmprint identification using feature-level fusion
By Adams Wai-Kin Kong, David Dapeng Zhang, Mohamed S. Kamel. Pattern Recognition, 2006
385 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/bd7996384bd34bbf230b279729332c4b7dc0f0c6
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
- De-shuang Huang
- Wei Jia
- Lin Zhang
- Hailong Zhu
In Signal Processing
- David Dapeng Zhang
- Mohamed S. Kamel
- Adams Wai-Kin Kong
- De-shuang Huang
- Wei Jia
- Lei Zhang
- Lin Zhang
- Hailong Zhu
Citations in the corpus
- A survey of palmprint recognition (2009, methodology): “2 Coding Approaches Coding approaches [1, 3-4, 7, 56] use one matching function to search entire databases.”
- Palmprint verification based on robust line orientation code (2007, methodology): “Results come from our approach and other approaches, such as PalmCode [1], FusionCode [ 2 ] and Competitive Code [14,15], are compared in Fig. 11 and Table 5. From Table 5, we can see that the results of our approach are better than that of other approaches.”
- 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.”
- Palmprint verification based on principal lines (2008, methodology): “In Palm-Code [1] and Fusion-Code schemes [ 4 ], the normalized Hamming distance was used to calculate similarity degree between a test image and a training image, while the Angular distance was adopted in Competitive-Code scheme [11].”