Personal recognition using hand shape and texture

By Ajay Kumar, David Dapeng Zhang. IEEE Transactions on Image Processing, 2006

311 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Genetics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/b29c94c8892062ddf8d5f690baf7e469bcacf2d1

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. Frauke Günther
2. Yingbo Zhou
3. Ajay Kumar
4. José Manuel Benítez
5. Ahmed E. Hassan
6. Ken-ichi Matsumoto
7. Shane McIntosh
8. Christoph Bergmeir

In Genetics

1. Frauke Günther
2. Yingbo Zhou
3. Ajay Kumar

In Signal Processing

1. Frauke Günther
2. Yingbo Zhou
3. Ajay Kumar

Citations in the corpus

• neuralnet: Training of Neural Networks (2010, methodology): “Thus, resilient backpropagation is used since this algorithm is still one of the fastest algorithms for this purpose (e.g. Schiffmann et al., 1994; Rocha et al., 2003; Kumar and Zhang, 2006; Almeida et al., 2010).”
• Human Identification Using Finger Images (2012, methodology): “The orientation of the vein image is estimated as follows [18]:”
• Personal Authentication Using Finger Knuckle Surface (2009, unknown): “The prior work on hand-based biometric identification [4] , [5], [8] used a black background during the image acquisition .”