Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition

By Raffaele Cappelli, Matteo Ferrara, Davide Maltoni. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010

667 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/fedf62585c133f625a1a1fe20c7785fb8565f47a

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. Danilo Valdés-Ramírez
2. Miguel Angel Medina-Pérez
3. Octavio Loyola-González
4. Aythami Morales
5. Jorge Rodríguez
6. Francisco Herrera
7. Raúl Monroy

In Information Systems

1. Octavio Loyola-González
2. Danilo Valdés-Ramírez
3. Miguel Angel Medina-Pérez
4. Aythami Morales
5. Jorge Rodríguez
6. Francisco Herrera
7. Raúl Monroy

In Signal Processing

1. Octavio Loyola-González
2. Danilo Valdés-Ramírez
3. Miguel Angel Medina-Pérez
4. Aythami Morales
5. Jorge Rodríguez
6. Francisco Herrera
7. Raúl Monroy
8. Enrique Herrera-Viedma

Citations in the corpus

• A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation (2019, background): “6%, MCC 69% [25], and a neighboring minutia-based descriptor 64.”