Matching of palmprints
By N. Duta, Anil K. Jain, Kanti V. Mardia. Pattern Recognition Letters, 2002
380 citations recorded by the source corpus.
Subfields: Genetics, Geometry and Topology, Signal Processing
View Paper: https://www.semanticscholar.org/paper/6bb0ac1c8952754427a053886b4b175d6c17817c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- David Dapeng Zhang
- Ajay Kumar
- Adams Wai-Kin Kong
- Mohamed S. Kamel
- Zhenan Sun
- Ivan Fratric
- Slobodan Ribaric
- Tien-Ping Tan
In Geometry and Topology
- David Dapeng Zhang
- Adams Wai-Kin Kong
- Ajay Kumar
- Kuanquan Wang
- Guangming Lu
- Tien-Ping Tan
- Yunhong Wang
In Signal Processing
- David Dapeng Zhang
- Ajay Kumar
- Anil K. Jain
- Adams Wai-Kin Kong
- Mohamed S. Kamel
- Tien-Ping Tan
- Zhenan Sun
- Ivan Fratric
Citations in the corpus
- Unveiling the Biometric Potential of Finger-Based ECG Signals (2011, background): “This setup intends to bring the usability and acceptability of ECG-based biometric systems to the level of other biometric traits, in terms of signal acquisition [15, 16].”
- Palmprint recognition using eigenpalms features (2003, methodology): “…work on palmprint recognition focused on two aspects: (1) extracting the principle lines and creases in the spatial domain (Zhang and Shu, 1999; Duta et al., 2002; You et al., 2002) and (2) transforming the palmprint images into the frequency domain to obtain the energy distribution feature…”
- A survey of palmprint recognition (2009, background): “Initially palmprint research focused on high-resolution images [69-70] but now almost all research is on low resolution images for civil and commercial applications.”
- Palmprint identification using feature-level fusion (2006, background): “Previous researchers were mostly interested in inked palmprint images, in which lines and points were considered as useful features for representing palmprints [4, 5 ].”
- Personal Verification Using Palmprint and Hand Geometry Biometric (2003, background): “Duta et al. [ 10 ] have suggested that the connectivity of extracted palm lines is not important.”
- A biometric identification system based on eigenpalm and eigenfinger features (2005, background): “The physical characteristics of an individual that can be used in biometric identification/verification systems are fingerprint [3], [4], hand geometry [5], [6], palm print [7], [8], [9], face [4], [10], iris [11], [12], retina [13], and ear [14]; the behavioral characteristics are signature [2],…”
- Ordinal palmprint represention for personal identification [represention read representation] (2005, methodology): “Various palmprint representations have been proposed for recognition, such as Line features [2], Feature points [ 3 ], Fourier spectrum [4], Eigenpalms features [5], Sobel’s and morphological features [6], Texture energy [7], Wavelet signatures [8], Gabor phase [9], Fusion code [10], Competitive cod”
- Competitive coding scheme for palmprint verification (2004, background): “Few papers have so far been published in this area [ 2-6 ].”
- Online Palmprint Identification (2003, background): “In fact, line features play an important role in palmprint identification [3], [ 4 ].”