Fingerprint Quality Indices for Predicting Authentication Performance
By Yi Chen, Sarat Chandra Dass, Anil K. Jain. International Conference on Audio- and Video-Based Biometric Person Authentication, 2005
301 citations recorded by the source corpus.
Subfields: Information Systems, Safety Research, Signal Processing
View Paper: https://www.semanticscholar.org/paper/ac3a2e736a5e5338676dde9653ca05d9cc3d3bca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Anil K. Jain
- Karthik Nandakumar
- Sharath Pankanti
- Patrick Grother
- Andrew Beng Jin Teoh
- Arun A. Ross
- Fabio Roli
- Giorgio Fumera
In Safety Research
In Signal Processing
- Anil K. Jain
- Karthik Nandakumar
- Sharath Pankanti
- Patrick Grother
- Andrew Beng Jin Teoh
- Arun A. Ross
- Abhishek Nagar
- Fabio Roli
Citations in the corpus
- Performance of Biometric Quality Measures (2007, background): “This is a tacit acknowledgment that the range [0, 100] is too fine and that an integer quality value on the range [1, 4] is effectively all that may be needed (or possible).”
- Fingerprint-Based Fuzzy Vault: Implementation and Performance (2007, methodology): “An algorithm for the extraction of helper data (see Fig.”
- Fake-fingerprint detection using multiple static features (2009, background): “34 In our observation, the power spectra of live and fake images exhibit similar ring patterns, since their overall geometric structures are alike, as shown in Fig.”