Online finger-knuckle-print verification for personal authentication

By Lin Zhang, Lei Zhang, David Dapeng Zhang, Hailong Zhu. Pattern Recognition, 2010

468 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/570110ec03dfa61ea3c3441c3dc9cf4dea596ae4

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

1. Huan Xu
2. Almas Abbasi
3. Shie Mannor
4. Woo Chaw Seng
5. J. Unar

In Information Systems

1. Huan Xu
2. Almas Abbasi
3. Shie Mannor
4. Woo Chaw Seng
5. J. Unar

In Signal Processing

1. Huan Xu
2. Almas Abbasi
3. Shie Mannor
4. Woo Chaw Seng
5. J. Unar

Citations in the corpus

• Robustness and generalization (2010, background): “Indeed, as Shalev-Shwartz et al. (2009) noted, for the supervised learning case (arguably the most common learning setup), classical results stated that learnability is equivalent to finiteness of the VC dimension of H (Vapnik and Chervonenkis 1974).”
• A review of biometric technology along with trends and prospects (2014, methodology): “Table 4: Summary of behavioral modalities: Modality Feature Set Recognition Techniques Datasets Voice Spectrum, Glottal pulse features, pitch, energy, duration, rhythm, temporal features, phones, idiolects, semantics, accent, pronunciation, LPCC [204], MFCC [205], VQ [206-208], HMM [209], GMM [210, ”